bluuebunny/crossref_metadata_2025 huggingface dataset:
The growth of reliance towards courier services through e-business verified during COVID-19: Malaysia
Authors: Izzah Nurul , Dilaila Farah , Yao Liu
Published: June 2021

Background: E-business firms’ dependence on courier companies was a satisfactory. It was found that with organizations that had supply chains, inter-firm dependence not only had a positive effect on their financial performance, but the development of technology or e-business systems development is also improved. This occurred because the pressure from their partners’ technologies made other partners feel the need to improve the technologies of their business. We realized that managing knowledge and creativity provided many benefits when it was combined with advanced technology especially in the Pandemic of COVID-19. Method/Analysis: This study use a qualitative and quantitative method such as interview and observation (qualitative) to verify of questionnaires (quantitative) by experts in the field of logistics especially in courier firms and e-business companies. Then for analyzing data we use SMART-PLS. Findings: This study proves that inter-firm dependence between courier companies and e-business firms are significant as well as they were able to contribute to new services developed especially for a crucial situation such as COVID-19. The COVID-19 pandemic is speeding up the trend towards digital. Small and medium-sized companies are also able to improve relationships with established customers while developing and leveraging new partnerships, especially with their logistics partners, by being active digitally. Application: In conclusion, it could help to recognize the current management and capacity levels, as well as the role of courier services and e-business performance. Thus, it could help both of them to renew their views of inter-company dependence management effects as well as to enhance their organizational practices, and that they’ll survive the market.
Intrusion Detection System Techniques : A Review
Authors: Sulaiman Noor Suhana , Nasir Akhyari , Othman Wan Roslina Wan , Wahab Syahrul Fahmy Abdul , Aziz Nur Sukinah , Yacob Azliza , Samsudin Nooraida
Published: June 2021

Nowadays, Internet attacks are increasing rapidly. As a result, information security is a serious global concern among Information Technology users. Intrusion Detection System (IDS) is capable to detect unauthorized intrusions into computer systems and networks by looking for signatures of known attacks or deviations of normal activity. IDS is such as a detective control, the main function is to warn the user of any suspicious activity taking place. Active IDS research are still ongoing with remarkable techniques to detect attacks with significance accurate result. This paper deliver a brief overview on types of IDS and a types of techniques employed to detect intrusion.
MySimB’ : Interactive tool for learning Simpulan Bahasa through educational website
Authors: Aziz Nur Sukinah , Sulaiman Noor Suhana , Zakaria Nur Liyana , Yacob Azliza , Hassan Wan Nur Idayu Tun Mohd , Rahman Saadiah A.
Published: June 2021

Nowadays, students in primary school in Malaysia need to learn Simpulan Bahasa as one of syllabus in Bahasa Melayu. Manually learner or primary student can refer the meaning for Simpulan Bahasa through physical dictionary. It is however quite ancient and sometimes burdensome for students to bring that dictionary. The purpose of this paper is to present the research of learning Simpulan Bahasa named “MySimB” which provide better learning language using web based. MySimb’ is interactive website which was developed to ease and fun learning for primary students, teachers and parents to learn or teach on Simpulan Bahasa. This website provide index using alphabetic, meaning and an example of sentence for each Simpulan Bahasa, search for Simpulan Bahasa and games to attract the students. The benefits of using MySimB’ in learning as it can engage students in the learning process, improve their achievement and increase their motivation towards learning Bahasa Melayu focus on Simpulan Bahasa.
Effect of High Speed Milling Cutting Parameters to Mould Steel DF2 Surface Roughness Employing Carbide End Mill
Authors: Kamarul Adnan A.A. , Bahiyah Baba N. , Izzul K.A.M. , Redhwan A.A.M.
Published: June 2021

The aim of this research is to analyze the effect of high speed milling cutting parameters on to the Mould Steel DF2 surface finish. Deckel Maho Evolution 50 High Speed Milling with pair controlled parameters (spindle speed and feed rate) is employed. Then, the Mould Steel DF2 was tested in order to explore the relationship between the controlled parameters. Within aided from application of Minitab was used to design and analyze the results. As a result, from the ANOVA table it been able to conclude that factor of spindle speed and feed rate does give significant value to the surface roughness (Ra). Its mean this to factor gives the influence of surface. The optimal machining conditions occur at the when the spindle speed is at 16000 rpm and feed rate 200 mm/min. Result of the study can be used by industries as a guide to choose best parameter for the High Speed Milling process.
Mechanical properties of wood dust and recycled polymers blends composition in injection moulding
Authors: Umor M.Z. , Mohd A. , Azwandy M.
Published: June 2021

Composites based on natural fiber reinforcement and recycled plastics blends has produced wide research and composites engineering interest in previous decades due to their high strength, small density, low cost, light in weight, recyclability and biodegradability as far as green technology is concerned. The tensile strength and water absorption were investigated at the different loading ratio. In this paper, wood dust, recycled Polyethylene Terephthalate, recycled Polyethylene (rPET/rPE) and SEBS-g-MA compatibilizer were processed with different wood dust loadings of 5, 10, and 15 wt %. In addition to molding process parameters such as the melt temperature and injection pressure will be considered which is influenced on part quality. From the observation it was indicates that the mechanical properties of tensile has increased with 15 wt % fiber whereas the water absorption also increased due to the hydrophilic nature of the filler.
Solubilization of Reduced Graphene Oxide by Grafting-On Poly(2-Methyl-2-Oxazoline)
Authors: Ifraan Muhd. Dzul , Kubo Masataka , Yusuf N.N.A.N. , Hakim Aminul , Manisah Rabiatul , Abdullah Nabihah
Published: June 2021

Reduced graphene oxide (rGO), one of the materials regarded as the strongest material is known as insoluble in wide range of solvent. This problem limits the application of rGO on other research. The grafted polymer, poly(2-methyl-2-oxazoline) (N3-PMeOxz) is soluble in water which could make it possible to broaden solubility of rGO in wide range of solvent. For this experimental study, N3-PMeOxz is grafted into reduced graphene oxide (rGO) with the purpose of improving the solubility of functionalized rGO and improvement of thermal and mechanical properties of functionalized rGO. Grafted-on reaction between N3-PMeOxz and rGO were carried out by using oxygen degassification method and heat reaction under nitrogen environment in the presence of N-methyl pyrrolidone (NMP). Characterization of the composite were analyzed by using Fourier’s Transform Infrared (FT-IR) for determination of bond exist in the composite and Differential Scanning Calorimetry (DSC) for thermal transition temperature. Solubility test of the composite on few solvent confirm the attachment of PMeOxz onto rGO.
Red 3BS dye extraction in liquid surfactant membrane using continuous extractive reactor process
Authors: Othman Norasikin , Noah Norul Fatiha Mohamed , Qian Lim Le , Jusoh Norela , Rosly Muhammad Bukhari , Sulaiman Raja Norimie Raja
Published: June 2021

Nowadays, the use of liquid membrane process in treating dye waste solution is more preferable compared to the batch mode as it provides higher recovery performance and huge treated volume. The aim of this paper is to determine the extraction efficiency of using continuous liquid surfactant membrane (CLSM) process for extraction of reactive dye Red 3BS in order to ensure that LSM process more applicable and commercialize in industries. Liquid membrane process comprises of three liquid phases which are external (dye aqueous solution), organic liquid membrane and internal aqueous phase was developed. Liquid membrane and internal aqueous phase were emulsified and dispersed into the wastewater solution (feed/dye aqueous phase) to be treated. The organic liquid membranes contain Aliquat 336, D2EHPA, Sorbitan Monooleote (Span 80) and kerosene as an extractant, synergist extractant surfactant and diluents, were used respectively. The sodium hydroxide (NaOH) was used as stripping agent in internal aqueous phase for the recovery process. The main factors studied for continuous dye extraction process were agitation speed, retention lime and treatment ratio. The system shows stable performance within 15 min duration of continuous extraction time along the process. The results showed that almost 100 % of Reactive Red 3BS ions were successfully extracted at the optimum conditions of 250 rpm agitation speed, 1: 7 of treatment ratio and 5 min of retention time. Therefore, as a conclusion, CLSM can be proposed as a very promising method for extraction of Red 3BS.
Characterization of Nickel-Cubic Boron Nitride Coating via Electroless Nickel Deposition on High Speed Steel and Carbide Substrates
Authors: Norsilawati N. , Fathil C.I.M. , Bahiyah Baba N. , Azinee S.N. , Ibrahim Mohd H.
Published: June 2021

Ceramic-metal surface coating is very well known for its high thermal, wear and corrosion resistance. The paper discussed on comparison of characterization of Nickel-cubic boron nitride (Ni-CBN) composite coating on two types of substrate. The substrates used are High Speed Steel (HSS) and Carbide due to good hardness, low cost and easily available. The composite Ni-CBN has been used in machining industries recently. It is desirable to get high ceramic of CBN to metal Ni ratio for corrosion, thermal and wear resistance. A sample of HSS and carbide substrate of CBN was used as the base for composite deposition. The surface coating of Ni-CBN was deposited via electroless nickel where the process of involved chemical reactions as the ceramic CBN powders was embedded within the coating. The characterization of the composite deposition was done by JSM-7800F Field Emission Scanning Electron Microscope (FESEM) coupled with Energy Dispersive X-Ray (EDX). The FESEM image proves that nano CBN powders were embedded in HSS substrate and distributed consistently on the coating surface.
Investigation and Optimization Key Parameters Effect on Cutting Feasibility of Electroless Ni-CBN on Carbide End Mill Cutting Tools by Taguchi Method
Authors: Norsilawati N. , Azinee S.N. , Bahiyah Baba N. , Fathil C.I.M.
Published: June 2021

Nowadays, coated cutting tools are extensively used in the cutting manufacturing industry, which gets to the important developments in cutting tool performance and economy thru reducing tool wear of cutting tools, low cutting forces, and better-quality surface roughness of the workpiece. From this research, the effects of feed rate, spindle speed and depth of cut on the surface roughness using electroless Nickel-CBN coated cutting tools (carbide) were measured experimentally. The parameters of machining’s setting were determined by using Taguchi’s L9 (33) was used in this study. The S/N ratio with analysis of response in optimization and ANOVA results were used to recognize the best significant parameters affecting the surface finish. From this experiment, the outcome shows that the feed rate parameter most affected to the surface roughness. The optimum setting parameter’s levels are spindle speed 3, feed rate 3, and depth of cut 2. So, the optimum machining settings are spindle speed of 3450 rpm, a feed rate of 334 mm/min, and depth of cut 2 mm.
The Effectiveness of Musa Paradisiaca as Green Inhibitor for Mild steel in Marine Corrosion
Authors: Rosliza R. , NurAshimah A.
Published: June 2021

Corrosion is characterized as metal and alloy degradation or destruction due to a chemical or electrochemical response to the surrounding environment or medium. Different metals corrode at different rates. Many organic and inorganic compounds have been investigated in the control of corrosion by adding the corrosive fluids as they are readily accessible, inexpensive, sustainable and environmental friendly. This research evaluates the effectiveness ofMusa paradisiacalas an organic inhibitor of mild steel in marine corrosion. The gravimetric and linear polarization methods were applied to study the corrosion behaviour of mild steel. All the parameters analysed showed good inhibitory characteristics against the corrosion of mild steel in solution being tested, and their efficiency was found to increase with the inhibitor concentration. After a varied immersion duration, the gravimetric and electrochemical measurements for mild steel in seawater showed that the presence ofMusa paradisiacalsignificantly reduces the corrosion densities (icorr) of 0.44 X 10−6Acm−2and corrosion rates of 0.00507 mm/year, as the polarization resistance (Rp) of 2536.6 and inhibition efficiency (IE) of 99.38 % are synchronously increased.
Integration of Emergency Response Management System with Internet of Things
Authors: Ghoni Ruzlaini , Ibrahim Tarmizi
Published: June 2021

Disasters can be classified either from mother nature such as landslide, earthquake, tsunami and lightning or cause by human such as leakage in gas production or terrorist attacks. Disaster leads to huge destruction economically and affected human lives. Whilst various technologies available towards disaster analysis occurrence, the Internet of Things (IoT) offers reliable solutions in handling the relevant disasters situation, such as early warning system, real time data analytics, remote monitoring and search and rescue localization. This research developed an integration of emergency response management system with IoT. The system integrates heterogeneous wireless-enabled embedded controller with sensor, smart phones, desktop and wireless communication for end-to-end network connectivity which is monitored by a cloud platform. The system performance was evaluated in terms of the end-to-end link quality estimation and delay.
Optimisation of Sensor Electrode Size for in Electrical Resistance Tomography Implementing Conducting Boundary Strategy
Authors: Ridzuan Aw Suzanna , Rahim Ruzairi Abdul , Yunus Fazlul Rahman Mohd , Rahiman Mohd Hafiz Fazalul , Wahab Yasmin Abdul , Azimi Farah Hanan , Syafie Lia Safiyah , Tahir Nurul Huda Mat , Aris Raja Siti Nur Adiimah Raja , Din Shahrulnizahani Mohammad
Published: June 2021

Electrical Resistance Tomography (ERT), due to its diverse advantages has become a promising technique for monitoring and analysing various industrial flows. In this research, an ERT system employing a conducting bubble column was studied because a majority of industrial processes use metal composites for their columns. This paper presents an approach to obtain the optimum size of electrodes in ERT to maximize the capability of an ERT system. A finite element model using COMSOL software was developed to investigate the effect of the electrode size in ERT on sensing field distribution. By adapting the conducting boundary strategies in COMSOL, wider and longer electrodes reduce the potential change near source, suggesting less current density near source. Besides that, wider and longer electrodes also reduce the potential drop and improve the signal strength in Electrical Resistance Tomography. The optimum size of 12 mm x 100 mm electrode is sufficient for the proposed ERT system using conducting bubble column.
Effective Use Of Computer Learning In The Culture Of New Norms
Authors: Musa Azlina , Hashim Mohd Nasir , Abdullah Nurul Ain Chua , Musa Rabiu Mu’azu
Published: June 2021

This article will discuss the use of computers in home learning culture. The purpose of this study is to examine the extent of computer mastery skills among students studying at home, especially during the covid19 pandemic. In addition, this study is also to assess computer skills among students in the culture of learning at home. In addition, this study is to examine managing computer efficiency among students during home learning. In addition to researching a home is the need for a computer to help the effectiveness of learning at home. This study is based on field studies such as observations and questionnaires together with 300 respondents as a complement to this study conducted. The results of the study show that the efficiency of computer operating skills among students while studying at home is causing problems to students in adapting to learning life in new norms. The careless attitude that is easily taken by students while attending classroom learning at home causes students to easily drop out of attending home learning classes. Students find it quite difficult to adapt to the new norms of life by staying at home and attending classes at home. Through re-documentation of this study, it is hoped to add more reference sources to researchers in the future.
Menu scheduling for high blood pressure patient with optimization method through Integer Programming
Authors: Hui Liew Su , Sufahani Suliadi Firdaus , Khalid Kamil , Wahab Mohd Helmy Abd , Idrus Syed Zulkarnain Syed , Ahmad Asmala , Subramaniam Tamil Selvan
Published: June 2021

High blood pressure or hypertension is a global public health issue. High blood pressure can lead to cardiovascular disease, stroke, diabetes and others. The diet problem of high blood pressure patients has always been concerned by the field of operational research. Some previous and recent research have proposed that diet plays an important role in affecting the condition of high blood pressure. A balanced diet will provide essential nutrients for high blood pressure patients that help to control and lower blood pressure. The purpose of this study is to construct a diet menu that meet the nutritional requirements of high blood pressure patient as well as minimize the food cost by developing a mathematical model using linear and integer programming approaches. The model of this study involved 10 type of food groups with 413 types of food variables based on the Malaysian recipes. The findings show that integer programming is a good alternative for linear programming. Integer programming leads to an optimal and effective solutions for the diet problem of high blood pressure patients.
Relationship between Leg Dynamometer with Squat and Deadlift 1RM Score among University Athletes
Authors: Najiah Wan Nur , Lee Ernie Leong Yen , Malek Nor Fazila Abd , Malik Zulezwan Ab , Chan Ebby Waqqash Mohamad , Ghazali Novri , Nadzalan Ali Md
Published: June 2021

This study aimed to investigate the relationship between Leg Dynamometer (LD) with squat and deadlift one repetition maximum (1RM) test scores. Participant of this study involved 50 male university athletes who were recreationally active (aged between 21-25 years old). Participants performed LD and one repetition maximum for squat and deadlift test. The score of LD were tested for relationship with the 1RM squat and deadlift. Pearson correlation were conducted to test the relationship. Results showed that there was a significant correlation at high level (r = 0.88, p = 0.000, p <0.001) between the LD test score and the squat while a very high correlation was obtained between the LD test score and the deadlift (r = 0.98, p = 0.000, p <0.001). As the conclusion, LD test that is simple and easy to be conducted produce similar result as the squat and deadlift 1RM test and can be used as a simple assessment of muscular strength among university athletes.
Studies Suspension Prevention System of Distance University using Analysis of Learning Activity and Learner’s Big Data
Authors: Chung Kwang Sik , Kuo Tony Chiu-Tien
Published: June 2021

Due to the increase in withdrawals and temporary absences of students from changes in the external environment, distance learning universities are trying to establish various policies and increase the number of enrolled students, and at the same time, are trying to establish various policies and efforts to increase the enrollment. However, it is difficult to systematically diagnose the main cause of the interruption of students, and prior research efforts related to the problem of student suspension in distance learning universities have accumulated, since there are various reasons for the student suspensions. In the proposed distance university Studies Suspension Prevention System (SSPS), distance university students can use two types of learning analytics services. In order to analyze learning activities, we propose the asynchronous learning activity analysis module, and the synchronous learning activity analysis module. In the asynchronous analysis module and symchronous analysis module, quiz, LINE group chatting & discussion forum communication, and online lecture has a learning state score according to the lecturer’s directions. Learning activities in the learning management system have three kinds of learning states, passive activity state, negative activity state, and medium activity state. Learning activity states are used to predict the student learning state. In the proposed Student Support System, there are two types of learning support services connected to the smart learning portal server. One is the intelligent distance university chatbot service for personalized chatting and caring services. The other is push message services for alarm, warning, notices, and alerts, such as dashboard service.
Design of Blockchain based e-Voting System for Vote Requirements
Authors: Choi Seiwoong , Kang Jihun , Chung Kwang Sik
Published: June 2021

Voting refers to the submission of an election or an opinion on a specific matter by expressing an intention on the ballot to a certain place. The existing voting method has the burden of counting time and cost. For this reason, research has been conducted to introduce an e-voting system. However, despite the advantages of e-voting, it is not widely used due to the risk of manipulation of voting results and various requirements. Recently, in order to reduce the risk of data manipulation, research is being conducted to apply the blockchain, a technology that guarantees data integrity, to e-voting. Blockchain guarantees the integrity of data, but has a weakness in secrecy. This paper applies the critical encryption technique to the blockchain and satisfies the requirements for voting such as verifiability, anonymity, fairness, non-reusability, competence, safety, transparency, and non-ticketing. We propose a system design and implementation method. The proposed blockchain-based e-voting system provides voter anonymity by issuing a voter certificate based on a blockchain address. The e-voting election monitoring committee generates a threshold group encryption key, and the proposed blockchain-based e-voting system guarantees confidentiality by a threshold group encryption algorithm during the voting process. The voting result is encrypted through a homomorphic encryption algorithm and stored in the blockchain. Thus, the released voting results ensure safety, confidentiality, transparency, and non-vote ticketing. In addition, the proposed blockchain-based e-voting system guarantees the unity and competence of voting through the blockchain’s smart contract.
Comparative Analysis of Graph Databases for Git Data
Authors: Falcão Thiago A. , Furtado Phillip M. , Queiroz Jordan S. , Matos Paulo J. O. , Antunes Tiago F. , Carvalho Frederico S. , Fonseca Paulo C. R. , Giuntini Felipe T.
Published: June 2021

In past decades, the requirements that database management systems (DBMSs) must achieve have become increasingly stringent (speed, data volume). This increase in complexity led to the development of a wide range of non-relational databases strategies, each one suited for specific scenarios. In this context, Graph Database Management Systems (GDBMSs) became popular to represent social networks and other domains that can be intuitively represented as graph-like structures. In this paper, we represent Version Control System data, specifically Git, from a large software project in a graph structure and compared three popular GDBMSs: Neo4j, Janus Graph and Dgraph. We evaluated read/write operations performance for common activities, such as inserting new commits into the graph and retrieving the complete commit history of a specific project. With this contribution, researches and engineers may choose, assertively, the better solution for their needs.
Construction of University Intelligent Manufacturing Learning Factory Laboratory for Emerging Engineering
Authors: Xu Ping , Yi Jiangang
Published: June 2021

In order to meet the needs of intelligent manufacturing professional personnel training, from the new perspective of cultivating the ability of engineering project, combined with the present situation of laboratory construction in colleges and universities, through the analysis of the present stage laboratory experiment process, aiming at the present stage in the process of practical teaching of experiment course in the theory and the actual production contact less problems, put forward a kind of combining teaching with enterprise production line of intelligent manufacturing factory laboratory construction planning study. Taking the customization of personalized pen holder as an example, this paper expounds the process of laboratory construction and experimental work, the machining, visual identification, intelligent logistics, MES and organic combination of experimental projects, such as through a multidisciplinary integration of laboratory construction, lead the students to combining theory with practice, apply theory to the purpose of production, improve the innovative ability of undergraduate talents for colleges and universities.
A Novel Improved Brain Tumor Segmentation Method Using Deep Learning Network
Authors: Yan Haoyuan , Chen Aiguo
Published: June 2021

Aiming at the problems of uneven brain tumor data classification and insufficient feature extraction, an improved brain tumor segmentation (BTS) method using deep learning network is proposed in this study. Here, we use U-net as to be the main network architecture, combined with the advantages of the residual network Resnet, which uses skip connections in each layer of encoding and decoding to form a residual module to avoid the disappearance of the gradient. Data enhancement is applied in data processing. To further improve the processing performance, we add a learning mechanism to the network and incorporates the compression and excitation module scSE on both space and channel to extract more useful features. This article is verified on the BraTS 2018 public brain data set. On the 66 officially provided verification sets, the network after adding the scSE module has obtained better segmentation results for the entire tumor, tumor core and enhanced tumor.
An Auto-Contouring Method for Kidney based on SVM
Authors: Li Bo , Xue Jing , Wang Ping , Gu Saikun , Chen Wei , Qian Pengjiang , Jiang Yizhang
Published: June 2021

In adaptive radiotherapy planning, the contour map of the treatment target area is still the most difficult problem. Usually this work is done by a professional radiologist oncologist, which is very time-consuming and labor-intensive. In order to solve this problem, this paper proposes an automatic contour method based on support vector machine. Experiments were conducted on the lower abdomen MR data set of eight patients. In the experiment, the simulated data was only used to train the classifier, and the treatment day images were used to evaluate the performance of the classifier. DSI was used to compare the manual contour and automatic contour of the kidney. The experiment showed that, The automatic contour method based on support vector machine has better classification performance than most classification algorithms. Among the eight sets of results, the DSI value of the six sets of results is 1, and the smallest DSI value is also greater than 9.423.
Research on Pipeline Defect Classification Based on SVM
Authors: Liu Peisheng , Han Yunping , Dong Chengshun
Published: June 2021

The defect identification and evaluation of buried steel pipeline is a long-term challenge in the field of pipeline detection, and the prerequisite for efficient identification of defects is the accurate extraction of pipeline damage signals. Aiming at the characteristics of buried pipeline defect signals, a method of pipeline defect signal extraction and recognition is proposed, which is based on support vector machine (SVM). A dictionary is obtained by learning from the original signal, the dictionary is used to construct a sparse model of the defect signal using a regularized orthogonal matching pursuit algorithm, and the feature vector of the signal is obtained according to the compressed sensing theory. Furthermore, multi-classification SVM is used to establish a mapping relationship between the feature vector of the defect signal and the actual defect type of the pipeline, and Genetic Algorithm-Particle Swarm Optimization is used to guide the selection of SVM parameters. The results showed that the proposed classification method can realize the accurate division of the damage degree of pipeline defects.
Extraction of Space Domain Entity and Relation via Word Vector Representation and Clustering Method
Authors: Wei Zhanji , Wan Gang , Huang Lingyong , Mu Yao , Yin Yunxia
Published: June 2021

Knowledge graph has shown great value in search engine, natural language Q&A, recommendation system and other application scenarios in recent years. The basic elements of a knowledge graph are entities and relations therein, so how to automatically extract entities and relations from natural language texts becomes a key issue in knowledge graph construction. In this paper, we propose an unsupervised method to extract space domain entities and relations with the goal of building a space knowledge graph. Firstly, a neural network model is used to extract implicit semantic features of domain words represented by dense vectors from original space domain corpus, and then new entities are discovered by clustering in vector space through a small number of labeled data. By concatenating space domain-specific word vectors and general domain word vectors, universal vector representations of entities are obtained, which include general features and domain features as well. On this basis, semantic vectors of relations between entities are calculated, and more new entity relations can be extracted from the corpus by using semantic vectors of relations. Compared with supervised method, the entity and relation extraction method proposed in this paper only needs a small amount of labeled data, thus is quite suitable for the construction of knowledge graph in space domain where labeled data is rather rare and expensive.
The Influence of Electronic Word-of-Mouth Dispersion on Order Decision from the Perspective of Self-Construal
Authors: Wu W L , Song M M , Duan Y C , Hong Y , Sui W J
Published: June 2021

Based on attribution theory, this paper explores the mechanism behind the influence of hotel electronic word-of-mouth dispersion on consumer order decision. Results show that (1) discrete electronic word-of-mouth negatively impact the order decision; (2) attribution selection could mediate the effect of electronic word-of-mouth dispersion on order decision of consumers; (3) independent self-construal weakens the negative effect of electronic word-of-mouth dispersion on order decision of consumers; and (4) consumers with high endowment reduce the tendency of electronic word-of-mouth dispersion due to online supporter reviews. Findings not only contribute to electronic word-of-mouth dispersion studies in the field of consumer behaviour, but also provide theoretical guidance and reference for hotel order management based on electronic word-of-mouth.
Research on Partial Pressure of Oilfield Water Injection Pipeline Network System Based on Fuzzy Logic
Authors: Zhang Ruijie , Wu Zhenming , Wang Mengxiao , Guo Yapeng , Mao Guoan
Published: June 2021

Aiming at the middle and late stages of oilfield development, the retirement of water injection wells in old areas of the water injection system, the increase of water injection wells in new areas, and the incorporation of tertiary injection wells into the subsequent water flooding have caused great changes in the layout of the water injection pipeline network, causing the mixed injection of high and low pressure wells, a fuzzy logic method is proposed to divide the pressure of the water injection pipeline network, establishing a partial pressure reasoning model, setting the fuzzy domain and reasoning rules, and finally realize the division of high and low pressure areas of a large number of water injection wells. aking an oilfield water injection pipe network system as an example, the effectiveness of the method is proved through Matlab simulation and application research.
Mathematical Modelling of Spatial Position of 4-High Mill Housing
Authors: Li Yang-Long , Lei Zhen-Yao , Wang Yong-Qiang , Wang Feng-Qin
Published: June 2021

Nowadays with the rise of laser measure technique, the laser tracker is applied to measure and calibrate the spatial position of mill equipment in cold and hot rolling mills. How to analyze the spatial state of mill housing with the amount measured data via laser tracker is the key to the problem. However, there is still no effective model to study the spatial position of mill housing. In this paper, a comprehensive mathematical model of the spatial position of 4-high mill housing was established. The least square method was used to fit the liner plates. It can be used to calculate the spatial distance and inclination relationship of each liner plate. The model was validated by the measured data of the 4-high mill housing via laser tracker. The calculated results of the model were consistent with those of the spatial analysis software, and the relative deviation was less than 0.01%. The median and opening value and inclination state of the mill liner plates were further studied. The ability and efficiency of data analysis could be improved based on this model, which has good prospect in on-site application.
Optimization Analysis of Suction Probe for Formation Sampling While Drilling
Authors: Jiang Chuanlong , Zhang Yang , Yan Tingjun , Chen Zhongshuai , Zhang Hui
Published: June 2021

Formation sampling while drilling (FSWD) is one of the most advanced formation sampling technologies in the world. During the operation, a small probe with a cushion is pressed against the wellbore to reduce the pressure in the probe enough to break the cake seal and extract the fluid from the formation. The content of drilling mud filtrate (drilling filtrate or filtrate) in the extracted formation fluid is determined by pollution rate. When the pollution rate of the extracted formation fluid drops to the specified index, the valve in the sample chamber is opened for sampling. When the sampling volume is reached, the pump and valve are closed. The time from the pump opening to the pump closing is called sampling time. The shorter the sampling time is, the shorter the circulation time of drilling fluid will be, so as to reduce the sticking accidents. Due to the influence of wellbore radial space, the size of the suction probe is limited. In order to avoid phase change of the pumped formation fluid during the operation process, the suction pressure difference should not be too large, etc. In this paper, the finite element simulation method is used to analyze the relationship between the above changes of the suction probe and the sampling time in the simulation results from the aspects of changing the size, shape, structure and arrangement of the suction probe in the formation fluid sampling tool while drilling, so as to realize the optimal selection of the suction probe. The research results of this method have important guiding significance to the design of fluid sampling tool while drilling.
Finite Element Simulation and Shape Optimization of Acoustic Horn
Authors: Wang Kaidong , Guo Sanxue , Wang Mingyong
Published: June 2021

Horn refers to the tube with continuous change of cross-sectional area, which can improve the matching of diaphragm and air load, so as to improve the electro acoustic conversion efficiency. For long-distance strong sound equipment, the purpose of using horn is to pursue higher sound pressure level, and control directivity and smoothness of sound pressure level response. In order to obtain higher sound pressure level and sharper directivity, parametric curve expressions of conical, exponential, hyperbolic and parabolic horn were derived. By using COMSOL multiphysics software, two-dimensional axisymmetric finite element simulation models of conical, exponential, hyperbolic and parabolic horn were established. Combined with if + end if programming function of the software, the effects of different cross-section shapes of horn on far-field sound pressure level and directivity were analyzed. The simulation results show that the parabolic horn can achieve a higher sound pressure level, and the sound pressure level is more than 3dB higher than the other three in the frequency band above 2000Hz. In the aspect of directivity, the beam width of parabolic horn is the smallest and more stable, and the overall directivity is the strongest. By using the shape optimization function of the software and constructing 8-order Bernstein polynomials, based on the parabolic horn, the shape of the horn was optimized for the most sensitive frequency range of 2000-4000hz, and the sound pressure level of the optimized horn was significantly improved in a large frequency range. This paper can provide technical reference for the design and development of horn loudspeaker.
An Improved Gray Wolf Optimization Algorithm for Solving Disassembly Sequencing Problems
Authors: Guo Laide , Peng Fangjie , Song Dapeng , Hu Chengbo , Dou Ling
Published: June 2021

In recent years, the utilization of end-of-life products which may cause serious environmental pollution has received much attention from both industrial and academia. The recycling and reusing of waste products have an essential step that is disassembly. A disassembly sequencing planning problem is studied with minimizing disassembly time to get the near-optimal solution. This work uses an improved algorithm for solving disassembly sequencing problems based on an improved gray wolf optimization algorithm, which has a group optimization options that can simulate the gray wolfs’ predation behaviours. An initial solution generator, a new solution generator, and a random mutation operator are adopted to improve the proposed algorithm, which can promote its efficiency and effectiveness. Experimental data show its superiority to solve this work’s problem comparing with the classical genetic algorithm.
Early Identification of Rice Leaf Blast Based on Hyperspectral Imaging
Authors: Yuan Jian Qing , Li Lei , Yan Wei
Published: June 2021

Rice blast is one of the three major rice diseases recognized in the world, which greatly harms the quality and the yield of rice. In order to distinguish rice leaf blast disease from nutrient deficiency and diagnose early the leaf blast disease, this study was based on the natural incidence of rice and field experiments, hyperspectral imagers were used to obtain the imaging spectrum of health, nitrogen deficiency, mild disease and severe disease. Spectra of 4 types of leaves were extracted, and three kinds of different data pretreatment methods were used, and the SPA feature extraction method was combined with the support vector machine(SVM) and the linear discriminant analysis(LDA) to construct the rice leaf blast identification model. The experimental results show that, after preprocessing by the Savitzky-Golay method, 9 characteristic wavelengths were extracted by SPA for modeling, and the models had the best recognition effect. The prediction accuracy of the SG-SPA-SVM model and the SG-SPA-LDA model were both 98.7%.
The Development And Process of A Dual-Band UAV Radar Antenna
Authors: Tong Wenqing , Bai Yifeng , Chen Qihai , Huo Shaoxin
Published: June 2021

This In order to meet the design requirements of airborne radar antenna, this article introduces the design and molding process of a dual-band UAV-borne radar compositematerial antenna. Thearticle proposed a kind of antennaunit which composed of skin, foam and microstrip antennas and carbon fiber, and a reflector with composite structure composed of foam, carbon fiber and stiffeners. The antenna and reflector are designed through an integrated process. A series of measures including the weight reduction and functional design of the antenna unit and reflector, the material performance is analyzed and optimized, and the mold design is adopted. It successfully developed a composite antenna with a size of 6000mm × 800mm × 20mm. After environmental test verification and a series of performance tests, the product is in good technical condition and meets the design requirements. This kind of composite material antenna has already been used on a type of drone, the drone has gone through flight test and the performance of the antenna is great. The successful development of this product can be used as reference for similar kind of UAV-borne radar antenna.
Water availability surpasses warmth in controlling global vegetation trends in recent decade: revealed by satellite time series
Authors: Zhang Anzhi , Jia Gensuo , Ustin Susan L
Published: June 2021

A better understanding of the dominant climatic drivers that control vegetation trends across regions and biomes is essential for assessing ecosystem dynamics and land-climate interactions in a warming world. Temperature (TMP) has long been considered as dominant control in global vegetation trends, and growing evidence suggests that water availability plays an increasingly important role in determining trends in vegetation growth over many biomes. However, a detailed spatial-temporal evolution of the vegetation trends and the climatic drivers that effect vegetation trends are not well known. In this study, using a time-varying trend (extracted by the ensemble empirical mode decomposition) of climate and satellite-derived normalized diﬀerence vegetation index (as a proxy for vegetation productivity) from 1981 to 2015, we find that the trends in vegetation greening and terrestrial carbon uptake reversed, beginning in the early 2000s, largely driven by the recent drying trend. The relative importance of climatic controls on vegetation productivity trend is estimated using a principal component analysis procedure, and the results demonstrate a global shift in the dominant driver of vegetation trends from TMP to precipitation, and point to intensified water limitation to vegetation growth as warming continues. The findings provide empirical evidence of the spatial-temporal evolution of different climatic drivers behind trends in vegetation productivity.
Retraction: Land subsidence in Beijing from 2017-2018 revealed by Sentinel-1A TOPS time series interferometry (IOP Conf. Ser.: Earth Environ. Sci.
638 012043)
Authors: Ran Peilian , Li Shaoda , Dai Keren , Yang Xiaoxia
Published: June 2021

This article has been retracted by the authors, who have admitted a very similar version has already been published [1]. In accordance with the COPE guidelines, IOP Publishing agrees to retract this paper.

The authors agree with the retraction and apologise for the mistake.

[1] Gou J et al 2019, Revealing Land Subsidence in Beijing by Sentinel-1 Time Series InSAR, The 2019 International Conference on Big Data Analytics for Cyber-Physical System in Smart City, AISC 928, pp. 113-119

Retraction published: 15 June 2021
Numerical Assessment of Twin-Propeller Performances
Authors: Lungu A
Published: June 2021

The paper describes a methodology for assessing the hydrodynamic performances of a four blade fixed-pitch propeller working in open water. Both single propeller and twin-propeller arrangements are studied. The numerical solver, which is a part of the Numeca FineTM-Marine package is based on the finite volume method. Closure to turbulence is based on the detached eddy simulation (DES). A double sliding grid technique is used to treat the contra-rotational flow around the propellers. A grid convergence test is carried out to verify the robustness of the numerical treatment. Comparisons with the experimental data for the single propeller are performed twice to validate the ISIS-CFD viscous flow solver for both starboard and portside propellers. Discussions based on the numerical solutions are provided aimed at clarifying the particular issues of the hydrodynamic interference between the two propellers. Finally, a series of remarks are concluding the findings of the present work.
A technical analysis and comparison of tubular and lattice towers for wind turbines
Authors: Barbu M , Darie G , Patrascu R
Published: June 2021

The advancement of wind energy technology brings about an increase in the size and height of the wind turbine towers. As the upscaling of the conventional steel tubular tower is problematic, alternatives are being investigated. In this paper, several configurations were reviewed and the lattice tower was identified as a possible solution. This study analyses and compares the structural performance of the two tower configurations, tubular steel and lattice, of equivalent height, stiffness and mounted rotor, in two sets of tower heights, 120 m and 150 m. The towers are mounted by the baseline 5 MW turbine developed by National Renewable Energy Laboratory (NREL). The results indicate that lattice towers are a suitable alternative to the tubular towers, providing significant material savings for a similar structural behaviour. Comparable bending moments were recorded in the base of the structures. The most demanding operating condition of the wind turbines was identified to be system braking cause by a sudden increase in wind velocity outside of the operating range. The 150 m lattice tower responds with excessive displacement during this abnormal operating condition; this is a potential issue that can cause generator failure if not accounted for in the rotor design.
Elements of influence for solar ventilated building facades: a review
Authors: Sima C , Teodosiu C , Fokone A T , Bejan A S
Published: June 2021

Climate change has become a fundamental concern for scientific researchers, architects and engineers, so it’s required to improve the performance of sectors responsible for city and building infrastructure. Burning fossil fuels to produce electricity and heat is the biggest cause of climate change and emissions, and represents one third of total greenhouse gas emissions. Thus, buildings become responsible for improving the external environment, either by construction phase, rehabilitation process or by maintainability process. This work reviews and evaluates elements of influence for solar ventilated building facades in order to improve this field of research as this solution allows to achieve important energy savings.