bluuebunny/crossref_metadata_2025_split huggingface dataset:
Problems and Countermeasures of Enterprise Internal Control in Big Data Environment
Authors: Li Donghui 
Published: February 2021

Abstract
The rapid development of modern society, the flow of information has accelerated the communication between people, and big data is the product of this background. Big data technology has also begun to be widely used in enterprises, which will inevitably bring a major change. The internal control of an enterprise, as the basis of all the management mechanisms of the enterprise and an important means for determining whether an enterprise can survive and develop in the fierce market competition, has also ushered in a revolution because of big data. Therefore, in the context of big data, how to achieve the ultimate goal of internal control and the risk prevention of internal control has become the subject we need to study.
Load Distribution Coefficient of Node of Lattice Beam Based on Two-Parameter Elastic Foundation Model
Authors: Zhang Taiyue 
Published: February 2021

Abstract
According to the force characteristic of lattice beam, used the Two-parameter elastic foundation model to deduce the answer of internal forces of concentrated force on the finite-length beam, and calculate load distribution coefficient of node, then get the internal forces of lattice beam, used the analytical solution combined with practical engineering, and compared with numerical solution of simulation of ABAQUS finite element software, to verify the correctness of theoretical solution, and analyze its deficiency.
Research on Cyber Security Defense and Protection in Power Industry
Authors: Chen Zhiyu , Guo Yonghe , Bai Dongxia , Wang Jiaxin , Dong Yaozhong , Qian Shengqi , Lu Teng , Xing Hairui 
Published: February 2021

Abstract
The power information network is a significant part of national key information infrastructure, as well as the core promoting force to guarantee the strategic development of energy internet. Due to its correlative characteristics in industrial control network, the internet and IoT, superadd a large of nodes and data sensitivity, the evolving network attack technology has put forward new requirements and challenges to its security protection system, which also hinders the overall interconnecting and interworking of energy internet to a certain extent. In order to improve the network security capability of full-service power network under the energy internet environment, a power information security framework based on cloud service was proposed to improve the safety and reliability, build an end-to-end electronic authentication mechanism and security management mode of strong data interworking, finally realize the life cycle data protection, trusted identity management and reliable electronic voucher application, meet the rapid development of the energy internet and escort the new digital economic of the power industry.
The Design and Load Experiment Study on Corbel of Moving Sinking hanging Scaffold for Ultra-deep Shaft
Authors: Liu Jie , Long Zhi Yang 
Published: February 2021

Abstract
Aiming at the difficulty of suspending the hanging scaffold of ultra-deep shafts, the corbel suspension device was designed by analyzing the needs of the moving type sinking hanging scaffold, and the strength check calculation was carried out to theoretically verify that the corbel can withstand the pressure of the sinking hanging scaffold. At the same time, through the no-load and heavy-load experiment of the moving type sinking hanging scaffold, the working status, force and overall load of each corbel of the moving type sinking hanging scaffold were monitored in real time. According to the experiment, it is concluded that the corbels can meet the conditions of use under the most unfavorable working conditions, which further improves the structural design theory of the sinking hanging scaffold and ensures the safe construction of the moving type sinking hanging scaffold.
Research on Generalized Multimodal Transport Cost Assignment Model Based on Super Transportation Network
Authors: Zhang Yonghong 
Published: February 2021

Abstract
In view of the problem of independent demand prediction and lack of overall integration in the current comprehensive transportation spatial planning, this research establishes a unified research framework by setting up a super transportation network, based on GIS platform in consideration of multi-modal transport demands in sectors such as railway, highway, waterway, civil aviation, postal service and pipeline. The county-level comprehensive traffic zones are established, incorporating various demands of each transport mode. This paper innovates the method of modal split prediction, via the use of passenger and cargo transportation functions to perform multimodal generalized cost model prediction distribution on the super transportation network, thus providing technical support for the integration of comprehensive transportation planning.
Network Representation Learning Algorithm Combined with Node Text Information
Authors: Wang Rui , Liu Yu , Chen Jiawang 
Published: February 2021

Abstract
In a network data analysis task, network representation learning play an important role. It can obtain a low-dimensional representative vector from high dimensional features of nodes which will promote the efficiency of downstream analysis task. Many algorithms mainly based on the structure information of the network but for a complex network, there is a lot kinds of feature information available for representation learning which has an important impact on network data analysis task. Therefore, we propose a network representation learning algorithm that combines node text information. Before our algorithm, we encode the information of the nodes including structure and text, and the strategy of fusion is adopted in advance which splice structure and text information. And then we feed the splicing results into the neural network which is a multi-layer feedforward neural network with a tower structure to learn the nonlinear structure information of complex networks. Finally, we design the structure loss function that preserve structure similarity and text loss function that preserve text information respectively. And we use the joint training to make two aspects information interact continuously. We conduct experiment to evaluate our algorithm. The results on two real word networks show our algorithm has better performance compared with traditional algorithms.
A Representation Learning Algorithm Preserving Structure and Attribute Proximity
Authors: Liu Yu , Wang Rui , Chen Jiawang 
Published: February 2021

Abstract
Representation learning is the application of data mining on complex networks, which extracts high-dimensional information from nodes to form a low-dimensional representation vector, and offers a better input to downstream application. So it has attracted many researchers’ attention recently. In a complex network, there are many kinds of node information, including the attribute information and structure information which are of great significance for data mining because they determine the nature of the node. However, the limitation of popular methods is that only the structure information between the node is considered, the rich high-dimensional attribute information of nodes has been ignored. The relationship between these attribute information of nodes in complex network is also important reference in the process of node representation learning. To address this problem, we propose an algorithm that uses the autoenconder to extract features based on fusion with node structure features and attribute features, and gets a more representative node representation vector. We apply the new algorithm on different datasets compared with popular baseline algorithms. The results show that the method we proposed is effective and it has good performance in visualization and node classification.
Fault Simulation and Formal Analysis in Functional Safety CPU FMEDA Campaign
Authors: Yang Xueying , Zhao Dongyan , Jiang Yichu , Zhang Xige , Yuan Yidong 
Published: February 2021

Abstract
In accordance with safety requirements of industrial control, a functional safety CPU is designed targeting controller IC used in State Grid. Functional safety verification flow based on FMEDA is setup for the project, which totally comply with IEC61508. In this paper, fault injection with fault simulation and formal analysis flow of functional safety verification is introduced in detail, which is set up for calculation of diagnose coverage on random hardware failure. Employment of formal method completes 2-3 weeks fault analysis in 52 hours, which improved diagnose coverage convergence.
Design and Development of Android Application for Educational Institutes
Authors: Ejiyi Chukwuebuka Joseph , Deng Jianhua , Ejiyi Thomas Ugochukwu , Salako Adetunji A , Ejiyi Makuachukwu B , Anomihe Chinonso G 
Published: February 2021

Abstract
The growth in the use android applications (Apps) has made it the most popular smart device operating system in use nowadays. Android has over 76% of the mobile operating system from December 2018–January 2020 which is quite significant. Android phones are also becoming the most used electronics globally. Students of higher institutions of learning are also becoming accustomed to the use of applications such that they want everything available for them on their mobile device if possible. This paper deals on an android application that will aid students in planning their timetable and scheduling their classes as well as having full knowledge of days according to the school calendar, get access to academic resources and information about the school right on their smart devices. From the application, one can have access to the detailed and accurate information of the school.
Design Classroom Teaching Reform based on Computer-Assisted Instruction: From “Presupposition-Execution” to “Presupposition-Generation”
Authors: Zhang Xiaoli 
Published: February 2021

Abstract
In the design class, the theory system of presupposition generation based on CAI is constructed, which includes three parts: online and offline implementation scheme, quality evaluation standard and practice test. It reveals that the essential attribute of generative classroom is the balance between teachers and students’ power and responsibility. This provides a theoretical basis and case reference for the design classroom teaching reform, and also provide a new research perspective for the innovation of design education.
Retraction: Block Adjustment of Large-scale Domestic Optical Satellite Remote Sensing Imagery without GCP in Antarctic
(IOP Conf. Ser.: Earth Environ. Sci.
428 012082)
Authors: Wang Yi , He Mingyuan , Xiang Jie , Ge Jingjing 
Published: February 2021

This article has been retracted by IOP Publishing. IOP Publishing was notified by the corresponding author that the corresponding author had breached the terms of our Publishing Licence and this article should not have been submitted and published. This is in violation of the IOP Publishing Licence. IOP Publishing therefore retracts this paper based on breach of the terms of the Licence.
Retraction published: 23 February 2021
A review of food waste characterization and treatment in anaerobic digestion
Authors: Izhar Tengku Nuraiti Tengku , Zakarya Irnis Azura , Zaaba Siti Khadijah , Yusof Ahmad Hadwan Mohd , Shahril Najwa Mohd 
Published: February 2021

Abstract
Anaerobic digestion is one of the main biological techniques to convert organic waste to energy. The resulting biogas can be harvested as renewable energy and as a nutrient rich compound that can be converted to soil conditioner. Food waste varies seasonally and geographically. It is resulting in a multiple potential for biogas between different studies. This article studies the anaerobic digestion of food waste in two sections, which are food waste characteristics and mono digestion of food waste. The purpose of this review is to connect the features of food waste to the biogas potential and to propose improved method to increase biogas production. It was concluded that, in terms of physical and biochemical properties, the variation in food waste characteristics would affect the efficiency of the process, including nutrient balance, mechanical treatment, thermal treatment and two-stage configuration. Thermal treatment can increase biogas production but unnecessary treatment can decrease the biodegradability of food waste.
Assessment of drinking water quality for raw water and treated water at Kangar, Perlis, Malaysia
Authors: Karen V Y T , Kamarudzaman A N , Jalil M F Ab , Hassan Z , Mahyun A.W. , Salwa M.Z.M. , Amirah A.S.N 
Published: February 2021

Abstract
Clean and safe water is vital for human health, whether it is used for drinking purpose, food production or domestic use. The aims of study are to investigate raw water quality parameters and analysed Water Quality Index (WQI) at Timah Tasoh Dam. The research also analyses the treated water quality parameters at Timah Tasoh Water Treatment Plant, Kampung Belukar, Kampung Kechor and Taman Bukit Kaya, then compared to National Standard for Drinking Water Quality (NSDWQ) and World Health Organization (WHO) guidelines. The raw water was analysed for pH, total suspended solids (TSS), chemical oxygen demand (COD), biochemical oxygen demand (BOD), dissolved oxygen (DO) and ammoniacal nitrogen (AN). Treated water was analysed for copper (Cu), iron (Fe) and nickel (Ni). Timah Tasoh Dam is categorized as slightly polluted where its WQI index was 76.94. Sources of pollution related to non-point sources such as fishery activities, agricultural and livestock wastes, and domestic wastes. For treated water parameters, significant results showed at Taman Bukit Kaya which recorded the highest concentrations of Cu, Fe and Ni, at 1.24 mg/L, 0.76 mg/L and 0.01 mg/L respectively. The reason is that Taman Bukit Kaya is the furthest distance from Timah Tasoh Water Treatment Plant, thus the residence time of water in pipe is longer which results in higher concentration of heavy metals. Concentration of Cu and Ni was complied with the guideline values of WHO and only Ni was complied with NSDWQ. Based on the result of treated water analysis at Kangar, Perlis, the drinking water quality is considered as safe for drinking.
Removal of pollutants from wastewater using tropical constructed wetland
Authors: Samsul N , Jeffery N A A , Duraman S B , Shams S , Zhenren G 
Published: February 2021

Abstract
A constructed wetland is considered as a cheap and sustainable alternative for wastewater treatment. The aim of this study is to find the most suitable plants or combination of plants along with the substrate for a horizontal sub-surface flow constructed wetland in Brunei Darussalam. The plants performance regarding removal efficiency of E. coli (EC), Total Coliform (TC), Total Nitrogen (TN), Total Oil and Grease (TOG) and Total Petroleum Hydrocarbon (TPH) were determined during this study. Twelve units of cell A (A1, A3, and A4) made of pixel glass and four units of cell B made of concrete are filled with 0.4 m depth of substrate. Each of cell of A1, A3 and A4 is planted with any of these local plants such as Pandan (Pandanus amaryllifolius)/Nipah (Nypa fruticans) or Lalang (Imperata Cylindrica). The cells in B are planted with all three plants but with different ratio of plant density. Each cell’s performance was analysed based on removal efficiency of EC and TC, TN, TOG and TPH. The study concluded that using sand as substrate was found to be most efficient for removing EC and TC consistently and effectively when planted with Nipah, Pandan and Lalang at a ratio of 1:1:1.
Investigation on rejection efficiency, flux and morphology of PES-surfactant membranes using RSM-CCD methodology and SEM assessment
Authors: Haswan B Badrul , Hassan A R , Ali K , Redhwan A A M , Nasir A 
Published: February 2021

Abstract
A well-functioning membrane such as high rejection efficiency and high flux rate is indeed the main goal in a study. In fact, so many studies on the factors that affect the membrane are carried out, such as pressure rate, polymer type, additive type, temperature effect during fabrication and so on. Therefore, the development of analytical modeling is vital to predict the optimal performance in good membrane production. Therefore, in this study, the main objective is to develop analytical modeling using Response Surface (RS) methodology for Sodium Dodecyl Sulfate (SDS) surfactant membrane, and also to determine the factors used such as polymer concentration and dye concentration in the experiment is statistically significant. The performance selected in this study were the rejection efficiency and the flux rate. Through the choice of Central Composite Design (CCD) that have been selected from the RS methodology, analytical modeling has been made through the development of an experimental framework that will be used to collect input. Modeling from the RS methodology will provide insights to predict the relationship between response parameters as well as statistically significant factors between input and output. Through the experimental data collected, the data were processed through ANOVA to determine the statistical validation of the adopted RS methodology. From the results of the experiments, the highest rejection efficiency and flux rate were 99.3% and 43.962 (L.m2 / h), respectively. 3D graphs, 2d contours, and equations for rejection efficiency and flux rate were developed as a result of analysis of Variance (ANOVA). Membrane surface morphology was analysed using Scanning Electron Microscopy (SEM) in determining membrane structures such as macrovoids, finger-like and spongy.
Dam failure risk factor analysis using AHP method
Authors: Daud Nurhidayati Mat , Hassan Siti Hafizan , Akbar Nor Azliza , Bakar Amalina Amirah Abu , Mohamad Nor Akmal Shuhada , Manan Ernie Abd , Hamzah Ahmad Farhan 
Published: February 2021

Abstract
Bukit Merah Dam is Malaysia’s oldest dam and the risk of failure probability is rising as the dam aging physically. The number and magnitude of maximal precipitations caused by changes in weather have been increasing and directly increase the likelihood of developing a dam failure. Risk analysis usually incorporates the theory of probability and the mathematical statistics to obtain the risk of dam failure within the framework of dam safety. However, the experience and judgment of the dam experts are not considered in determining the risk of dams failure. This study aims to determine the risk factor of Bukit Merah Dam through the Delphi technique and to assess the risk factor impacts due to dam failures using the AHP method. There are three risk factors or criteria highlighted in this research which are structural, human and natural. According to the results for the structural criteria, the priority is seepage where the final weight is 70.1%. For the human criteria, the priority is operational mismanagement with the final weight of 58.46%, 31.45%. Lastly, for the natural criteria, the priority is flooding from high precipitation with a final weight of 48.57%. From the consistency ratio, the CR for structural factor is 0.041 while for the human factor is 0.014 and for natural criteria is 0.019. As all the CR value for this criteria is less than 0.1, all participants’ evaluations about dam failure criteria are consistent. In conclusion, the dam operators need to be more vigilant to seepage, operational mismanagement and flooding from high precipitation factors of failure for Bukit Merah Dam.
An analysis of stormwater runoff rehabilitation for integrated BIOECODS using EPA-SWMM
Authors: Kian N Z , Takaijudin H , Osman M 
Published: February 2021

Abstract
Urbanization that is becoming a trend around the globe, including in Malaysia, has led to an increase in impervious areas. This, in turn, has led to severe flood events in most countries. To alleviate the problem, management actions are required to produce the desired result in flow mitigation. Software and modelling tools can offer support in the specific selection of suitable options. This paper shall focus on a study that was conducted at the academic complex of Universiti Teknologi PETRONAS (UTP). The chosen study location was known to experience flooding as the surface runoff did not drain efficiently on rainy days. An integrated BIOECODS was designed in front of Block 13 and Block 14 of the academic complex using EPA-Storm Water Management Model (SWMM). The existing drainage system was simulated using a model to identify the potential flash flood area. A new diversion flow was then designed to allow surface runoff to discharge into artificial lakes acting as temporary storage before the water flows out through the outlet. The interconnection of the drainage network and artificial lakes in UTP was also analysed in this project. For the simulation model input parameters, rainfall of 50-year ARI with a 30-minute duration was assumed as rain intensity. The hyetograph was converted to input time-series data during model development. The analysis showed that node RS12-274 and node RS113-275 exceeded the maximum depth of surface runoff during storm events. Additionally, hotspot flooding area was determined at a lower elevation level of the roadside drain. Hence, mitigation was proposed by realigning the drain slope and providing a new diversion flow channel. The new model analysed using EPA-SWMM, including the bioretention pond, showed that overflow issues would no longer occur. A recommendation could be proposed when using the simulation model, such as considering some modifications to the EPA-SWMM to adopt best management practices (BMPs) in Malaysia.
Applied hotspot analysis in Melaka River basin
Authors: Hua Ang Kean , Gani Paran , Yahya Syazwani , Ali Ahmad Mohd Fadzil , Ab.Majid Mad Helmi , Mokhtar Khairunnisa , Yusof Junaidah , Mohammad Azmi Nurlisa Sarah , Jelani Juliana 
Published: February 2021

Abstract
The unorganised expansion and uncontrolled urbanisation development had led to environmental issues involved with river water pollution that occurred within the Melaka River basin. This study aims to identify pollutant sources using GIS-based pattern recognition techniques of Hotspot analysis in the river basin. The selected study area was Melaka River basin, where independent and dependent variables were land use classification and river water quality data. Both data was obtained from government and private sectors for 2015 and 2029. The result indicated that hotspot analysis with the main contributor of Melaka River pollution were S1 (VA) and S5 (NIA and IA) for both years. The findings could benefit the planners and policy makers in understanding the relationship between land use and water quality within a catchment scale to prevent further deterioration that can cause severe pollution. Land resource management adopting a sustainable development concept is considered as one of the best solutions for longterm management of the resources.
Investigation of using sand filter in treating grey water
Authors: Mohd Saad Farah Naemah , Jamaludin Siti Zaharatul Akmal , Tengku Izhar Tengku Nuraiti 
Published: February 2021

Abstract
The ability of sand filter in treating grey water collected from the college residential is studied. Sand filter was used because it is among the most effective methods to clean the burden of pollution in the wastewater. Six sand filters with different compositions were set up in which three sand filters only consist of sand and gravel while another three sand filters were added with coconut shell activated carbon. These sand filters were used to treat the grey water based on water quality parameters which are pH, AN, TSS, BOD5, COD, and PO4
3-. The results show that concentration of AN, TSS, BOD5, COD, and PO4
3- was reduced up to 37%, 94%, 96%, 93% and 57% respectively while pH was neutral with a value of 7.60. Furthermore, the results also indicated that the sand filter added with coconut shell activated carbon was better in removing the pollutants as compared with sand filter without added activated carbon.