bluuebunny/crossref_metadata_2025 huggingface dataset:
Regional Development of E-Commerce Based on Big Data Evaluation Model
Authors: Li Lin , Qin Fang , Wang Can , Sun Jianyan , Zeng WeiJia , Yu LinLin
Published: April 2021

In order to improve the authenticity and reliability of the evaluation data of regional e-commerce for reflecting the regional credit level in the business platform, this paper proposes a regional credibility evaluation model based on big data, which integrates the behavior characteristics of regional economic development and the judgment of the credibility of comments. Based on the analysis of regional economic behavior, the features include regional activity, regional reliability and regional contribution, while the credibility of comments is calculated based on the quality of regional text. The experimental results show that this method can quickly screen out the high reliability region, and can effectively alleviate the cold start problem. In the regional credibility evaluation model, two groups of features are proposed: regional behavior feature and regional text quality feature. The credibility of regional behavior, the credibility of regional social relations and the quality of regional comments are comprehensively evaluated. These two sets of features solve the problems of incomplete features and data cold start in the evaluation model of regional credibility.
Industrial Value Chain Model and Big Data Application for developing green agriculture in China
Authors: Hu Die , Chen Yuxue , Hu Menghan
Published: April 2021

The rise of big technology gives a good way for transformation and upgrading of traditional agriculture to modern agriculture. It has great significance to enhance the competitiveness of the agricultural industrial chain, increase farmers’ income and improve agricultural efficiency by applying it into management of agriculture industry chain. However, the utilization of big data in agriculture is not well, facing all kinds of negative conditions and challenges. To overcome this situation, this paper tries to combine the big data technology and value chain model to construct an efficient industrial chain for green agriculture with the case of Hubei Province in China.
Intelligent planning method for large-scale low-orbit constellation supplementary network
Authors: Cui Wenhui , Zhang Zhibin , Cao Xiaolong , Zhao Xiangwen , Sun Jingfeng
Published: April 2021

Large LEO constellations have become increasingly prominent in the aerospace field. When some satellites in the constellation fail, the traditional SOC (Streets-of-Coverage) constellation coverage analysis method can no longer evaluate the coverage of the constellation accurately. A method for calculating the space coverage performance of the large constellation with an incomplete configuration using a single-satellite space coverage stacking method is deduced. The constellation TT&C (Telemetry Tracking and Command) planning method based on spatial coverage assessment is proposed. The genetic algorithm is taken to illustrate the general steps of the intelligent planning of constellation complementary network, and the intelligent planning model design for multiple constellation TT&C restriction and covering the optimal target is realized.
Application of Variational Mode Decomposition and Deep Learning in Short-Term Power Load Forecasting
Authors: Yu Ping , Fang Jie , Xu Yubao , Shi Qiang
Published: April 2021

Accurate load forecasting of power system operation and development is of great significance. Because of the power load time series has strong nonlinear, the traditional forecasting model does not apply. Therefore, a short-term load forecasting model based on variational model (VMD) and length (LSTM) is proposed. Firstly, the VMD decomposes the original load sequence to get the modal of different size frequency component. Then, phase space reconstruction (PSR) organizes the modal components into deep learning inputs. Then, the LSTM network is employed to predict each group of modal components. Finally, all the modal component predictive value addition to the power load to predict the future. The experimental results show that compared with the BP, LSTM and EEMD - LSTM model, the model completely weakens the non-stationary load sequence, minimize the prediction error, reached the highest prediction accuracy.
The Influence of Artificial Intelligence on French Interpretation Teaching and Its Development Prospect
Authors: Yi Guo
Published: April 2021

As interpretation courses are generally offered in colleges and universities, French interpretation courses not only reflect the similarities between French interpretation courses and English interpretation courses, but also have many special features. With the development of science and technology, artificial intelligence translation tools are also the product of social development, which has a vital influence on both interpretation work and interpretation teaching. This paper not only introduces the situation of artificial intelligence translation products, but also introduces its influence on French interpretation teaching, which is the representative of minority language, especially it plays an important role. This paper also introduces methods on how to cultivate talents who are suitable for the current situation of social development, These talents should not only with high-level interpretation skills, but also with diversified and compound skills.
Thoughts on the development of artificial intelligence combined with RPA
Authors: Zhang Xuan , Wen Zhanpeng
Published: April 2021

As companies focus on digital innovation, robotic process automation (RPA), has attracted widespread attention in many different industries. The automation of repetitive tasks can increase efficiency while reducing human error. Robots will not be tired, will not be bored, and will perform tasks accurately to help their human counterparts improve and reduce their free energy to focus on higher-level tasks. In addition to simple RPA, intelligent automation can also be achieved by integrating machine learning and artificial intelligence with robotic process automation to automate repetitive tasks and increase human-like perception and prediction layers.
Research on Online Shopping Packaging Recycling Strategy under Big Data Environment
Authors: Kong Fanrong , Lu Hongxia
Published: April 2021

Online shopping has greatly facilitated people’s lives, but not properly recycled express packaging, not only cause waste of resources, but also destroy the environment, and “reduce, reuse, resource” as the principle of circular economy. Based on the data of 309 questionnaires, this paper analyzes the present situation of online shopping packaging recovery in China. It is expected to play a certain role in realizing the efficient and recycling utilization of resources, protecting the environment and promoting the green and sustainable development of the express industry.
Research on Innovation and Entrepreneurship of Higher Vocational Education Based on CiteSpace
Authors: Li Yanjun , Wei Haoyu , Wei Shengyu , Zhang Li
Published: April 2021

Based on the CiteSpace, the core Chinese journals in CNKI general library from 2005 to September 2020 were searched, 2855 papers on innovation and entrepreneurship were obtained and analyzed. The development of innovation and entrepreneurship in Higher Vocational Education in China was objectively analyzed by drawing the knowledge map of the research authors, research institutions and research topics in this field. The results show that the research authors and research institutions form less cooperation, in the research institutions, with the increasing number of coastal economic development zones, vocational education innovation and entrepreneurship research main force to the relatively developed areas of the transfer. Research is carried out on hot issues such as political education, modern apprenticeship system and the integration of dictatorship. It is suggested that we should continue to strengthen the research on the integration of “proprietary” and pay attention to the improvement of the curriculum system and teaching methods according to local conditions. The specific content of innovation and entrepreneurship education should be improved to diversify innovation and entrepreneurship.
Research on Judicial Big Data Text Mining and Sentencing Prediction Model
Authors: Xu Juan
Published: April 2021

In the era of big data, computer data has grown tremendously, especially in unstructured text data, and its growth rate is amazing. For this reason, in the application of judicial big data, people need to apply automated text mining technology to process unstructured data and predict the specific value of information. This article summarizes the research design and technical background content based on previous work experience. The author discusses the analysis of specific research results from three aspects: pre-processing of research data, establishment of sentencing prediction models, model testing and evaluation.
MLDRL: A multi-layer distributed reinforcement learning framework with multiple trainers
Authors: Zhang Jiarui , Li Yuan , Wang Xuewen
Published: April 2021

Synchronous distributed sampling is widely used in various distributed reinforcement learning algorithms. However, it is difficult to scale to a large case due to significant synchronization and communication costs. In this paper, we propose a scalable layered distributed reinforcement learning framework by introducing multiple trainers. We use a parameter processor to coordinate parameters obtained from multiple trainers and introduce worker nodes to reduce the communication cost among the parameter processor and the trainers. We do experiments in a multi-agent environment, and the results show that the proposed framework significantly accelerates the training efficiency of the reinforcement learning algorithm.
A Hybrid Deep Learning Framework for Estimation of Elbow Flexion Force via Electromyography
Authors: Lu Wei , Gao Lifu , Zhang Qianqian , Li Zebin
Published: April 2021

Real-time and accurate estimation is beneficial for intention recognition, muscle rehabilitation evaluation and artificial limb control. However, it is difficult to estimate the elbow flexion force accurately. The aim of our model is to estimate elbow flexion muscle force, which can be used for elbow joint health assessment and prosthetic control studies. This paper proposed an end-to-end deep learning framework by fusing Convolutional Neural Network (CNN) and Bidirectional Long Short-Term Memory (BiLSTM) neural network with attention mechanism, which is more suitable for time series EMG signal to improve the feature extraction ability and achieve a high flexion force estimation accuracy. Experimental results indicated that the proposed method can automatically extract the proper features of elbow motion behaviors without professional knowledge in feature extraction model. Moreover, the experimental result shows that the proposed framework performs well in the accuracy and generalization ability, outperforming the state-of-the-art methods.
Analysis of International Situation on Rateless Codes Based on Big Data
Authors: Zhang Xian , Chen Dunkui , Peng Lingling , Chen Yingchun , Zhang Chi
Published: April 2021

As one of the key technologies of the new generation of high mobile wireless communication, rateless codes have drawn attention of countries all over the world. From the patents, we investigated the development trend, the patent source and distribution, main organizations, research hotspots and core patents by using analysis tools including the PatSnap database, Innography and the Insights. The results show that the quantities of patent applications has generally increased since 2006. China, American and Korea ranked the top 3 of the number of patents. Top three organizations for patents applications were Qualcomm Incorporated, Thomson Licensing and Huawei Technologies Co., Ltd. The research hotspots mainly focus on arrangements for detecting or preventing errors in the information received(H04L1) and coding, decoding or code conversion, for error detection or error correction et al.(H03M13).
On Application of Artificial Intelligence in Electric Power Service Field
Authors: Huang TongNan
Published: April 2021

with the development of science and technology, artificial intelligence has gradually come into people’s vision, which has brought great convenience to people’s work and life. Especially in the field of electric power service, the application of artificial intelligence technology has greatly promoted the development of the industry. In order to better integrate this technology into the power service industry, this paper analyzes the specific application of artificial intelligence technology in the field of power service. And based on the current situation and application scenarios of artificial intelligence development, and this paper also puts forward constructive suggestions on how to develop artificial intelligence technology in the industry.
Fast Clustering of Communication Signals
Authors: Ji Gang , Zhu Yuxuan
Published: April 2021

In the modern and digital battlefield, grasping the electromagnetic power of battlefield system is the key to deciding the outcome of the war, and accurate and comprehensive electromagnetic situational awareness is of great importance. Communication protocol analysis is a prerequisite for smart jamming in non-cooperative electronic countermeasures. The design of efficient jamming strategy for synchronous or networked signals can make up for the shortcoming of insufficient jamming power, solve the problems of remote and covert jamming, greatly reduce the cost of jamming equipment and improve the survivability of battlefield. Therefore, the rapid analysis of communication signal protocol has important military application value. Traditional protocol analysis requires parameter estimation layer by layer on the communication protocol, and bitstream analysis of the protocol word can only be carried out on the premise of solving modulation pattern identification and demodulation, interweave and scrambling parameter estimation and demodulation, channel decoding parameter estimation and decoding. This analysis method has the following disadvantages: long analysis cycle, strong expert dependence and high algorithm complexity. It is difficult to meet the demand of real-time analysis of unknown and flexible electromagnetic signals. In order to solve this problem, this paper proposes an idea of fast clustering of signal protocols in the physical layer by artificial intelligence method.
Online porosity defect detection based on convolutional neural network for Al alloy laser welding
Authors: Ma Deyuan , Shu LeShi , Zhou Qi , Cao Shenjie , Jiang Ping
Published: April 2021

Porosity is one of the most serious defects in Al alloy laser welding. The online detection of the porosity can identify the weak position of weld seam and take remedial measures accordingly. In this paper, a convolutional neural network (CNN) model where the input is the signal spectrum graphs extracted by wavelet packet decomposition (WPD) is constructed to identify the porosity during Al alloy laser welding in real-time. The porosity monitoring platform is set up to obtain the keyhole opening area signal and the keyhole depth signal in the welding process. The sliding window scanning algorithm is used to scan the signals and the weld seam, and the time-frequency spectrum graphs are obtained by WPD processing on the signals in each sliding window. Through analysis, when there is porosity in a small weld seam section of the current sliding window, the signal spectrum graphs are messy at this moment, while when there is no porosity, the signal spectrum graphs are clean and the frequency bands are concentrated in low-frequency part. The CNN model is constructed to classify the signal spectrum graphs under different porosity status, thereby it can identify the porosity in the weld seam.
Component design of word report generation based on LabWindows/CVI
Authors: Xiucai Zhao , Tao Yan , Wenan He , Guofeng Zhang
Published: April 2021

In order to realize the automation and diversification of word report generation business in the field of test and measurement, this paper first proposes a report generation collaborative processing mechanism based on a series of functional components through the demand analysis of report generation business and the design of software function allocation. Then, based on the development resources provided by LabWindows/CVI, this paper discusses the realization ways of the bookmark management and the automatic report generation based on word template. Finally, the practical effect of the word report generation business is given.
Design and implementation of an efficient program interpreter for industrial robot
Authors: Xie Mingyou , Li Di , Cheng Minghao , Li Shipeng , Luo Yongchao
Published: April 2021

Robot program interpreter is an important tool for robot to realize real-time control and fast feedback. In order to simplify the process of robot programming and improve the interpretation efficiency of robot program, an easy-to-use and efficient industrial robot program interpreter is designed and implemented in this paper. The interpreter divides the robot program into two parts: variable definition and instruction call. The process of interpretation includes lexical analysis, syntactic analysis, semantic analysis and instruction interpretation modules. Using flex and bison tools to assist in the generation of lexical and syntactic analysis programs, this paper proposes child-sibling notation (CSN) to construct a syntax tree. In semantic analysis, the red-black tree structure of the map container is used to create a symbol table and record variable information. By the way of presetting type checking codes, errors in the program can be reported and handled. Finally, the interpreter traverses the syntax tree with depth-first algorithm, and calls the corresponding control function while interpreting the instruction sentence to execute the motion of robot. The experimental results show that the designed interpreter has high efficiency and stability in interpreting the robot program and meets the operational requirements of industrial robots.
Kinematic and dynamic analysis of a planar tensegrity-based mechanism
Authors: Lei Hui , Lin Min , Ji Zhifei
Published: April 2021

Tensegrity-based mechanisms are proposed to be used in the field of robotics due to their advantages such as deployable, easily tunable, redundant, and easily modelled. In this work, the kinematic and dynamic analysis of a planar tensegrity-based mechanism was researched. At first, the forward and inverse kinematic analysis of the mechanism was studied by using the energy method. Then, stiffness of the mechanism was investigated. Afterwards, the dynamic model was developed and the numerical simulation was conducted. The results indicate that the stiffness of the mechanism is always a maximum when the mechanism is in equilibrium and it decreases with an increase in the external load. The dynamic model lays the foundation for the control of the mechanism.
Design of device adapter enabling plug & produce for intelligent manufacturing production line
Authors: Yao Xia’nan , Li Di , Tang Hao , Wang Xixiang , Luo Yongchao
Published: April 2021

Aiming at the problem that traditional manufacturing production lines are difficult to meet the increasingly customized product requirements due to their poor flexibility and adaptability, a design framework and implementation method for the intelligent device adapters that followed the model-driven concept were proposed. Firstly, the importance of model-driven approach based on the requirements of production line for customization was explained; then a variety of mainstream hardware interfaces and software communication protocols of devices in the modern manufacturing field were analysed. By this means, the software and hardware systems of the device adapters were designed in a modular manner, so that the ability to automatically perceive the surrounding environment and communicate externally with the standard service interfaces of OPC UA was achieved. Finally, the results of the functional verification carried out on the production line prototype platform show that the intelligent device adapters can automatically register the metadata of devices based on the self-description model to the service catalog, and the communication protocols and data description formats of devices can also be uniformly adapted to OPC UA, so as to realize the capability of plug & produce without manual intervention.
Electrical line-shafting control for permanent magnet synchronous motors using active disturbance rejection control
Authors: Zhan W , Su J Y , Yang G J
Published: April 2021

This study presents an electronic line-shafting (ELS) control strategy based on Active Disturbance Rejection Controler (ADRC) for permanent magnet synchronous motor systems. In order to improve the speed synchronization accuracy of the system when startup and a disturbance occurs, the TD of ADRC is used to arrange the same transition process for each drive unit. In addition, the ESO (Extended State Observer) in ADRC is used to observe the load disturbance of each drive unit and give feedback to the virtual line-shafting, thus the system obtained high speed synchronisation. Effectiveness of the proposed ELS control scheme is verified by experiment results.
Development of methods for modeling of oil and gas producing enterprises electrotechnical complexes
Authors: Romodin A V , Leyzgold D Yu , Mishurinskikh S V , Pavlov N V , Semenov A S
Published: April 2021

The article presents the mathematical description of minerals industry enterprises electrotechnical complexes. The presented development and modification of algorithms and methods for calculating the parameters of electrical complexes structural elements are taking into account the specifics of the technological process. The developed methods of studying the operating modes of electrical complexes of oil and gas production enterprises are planned to be used to identify various promising dynamic modes, which, in turn, will allow determining the optimal operating conditions of electrical complexes regardless of their structure, including in conditions of uncertainty and incomplete information.
Ecological-economic modeling for sustainable and safe development of high-tech industrial enterprises
Authors: Melnikova A , Garifzyanov R
Published: April 2021

This paper presents the concept of considering the ecological and economic component of the industrial system from two sides. The first side represents ecological and legal modeling which includes the study of exogenous and endogenous negative determinants affecting this area. The second side describes ecological and mathematical modeling which is based on the modernization and adaptation of the calculated tools for high-tech industrial enterprises to reflect the costs of environmental safety, sustainable development of production and conservation of natural resources.
Predicting the heat capacities of ammonium- and phosphonium-based deep eutectic solvents using artificial neural network
Authors: Bunquin Ray Matthew A. , Caparanga Alvin R.
Published: April 2021

Deep eutectic solvents (DESs) are more environment-friendly and sustainable solvents than ionic liquids (ILs). Determining their physical properties is vital prior to their application. However, it is not practical to experimentally determine the physical properties of all DESs. Therefore, developing models to estimate their physical properties is necessary. In this study, a generalized model using artificial neural network (ANN) was developed to predict the heat capacities of ammonium- and phosphonium-based DESs over the temperature range of 278.15 – 353.15 K at atmospheric pressure. The best ANN model developed from the training and optimization process has an architecture with two hidden layers of 7 and 6 neurons, respectively. The overall average absolute relative deviation of the proposed model from the data was 0.57%. Qualitative analyses suggest a promising predicting capability of the proposed model. The calculated values of the statistical descriptors are close to their ideal values. Therefore, the proposed model can be used to reliably predict the heat capacities of other ammonium- and phosphonium-based two-component DESs.
Orbital: An Electric and Magnetic Field
Authors: Amin Mir M.
Published: April 2021

Quantum mechanics is a non-intuitive subject which is very difficult to understand. Various investigations have been done on understanding the basic quantum mechanics. Nevertheless, many attempts have been made for understanding the appropriate techniques, which are known to help conceptual under-standing of basics of orbital. As per the study the orbital is considered as an electric and magnetic field. The electric and magnetic field gets generated due to the continuous motion of electrons. So the orbital is nothing more than an electric and magnetic field. It is because of the electric and magnetic field of the orbital that it possesses electric and magnetic momentum. So taking all these points into consideration, it could be concluded that an orbital is no more than an electric and magnetic field.
Preparation and Properties of a Novel Sodium Alginate Microcapsule
Authors: Liu Zhenyan , Chen Xue , Guo Hao
Published: April 2021

In this study, sodium alginate was used as the main embedding material, and sodium polyacrylate had been immobilized on sodium alginate with calcium ions as crosslinking agent for preparing a new type of lactic acid bacteria entrapment material. The aim of this study was to investigate the viability of Lactococcus lactis NCU1315 under simulated gastrointestinal conditions and the physical properties of the microcapsules and their protective effects on Lactobacillusto develop a feasible and stable method for preparing microbial particles. The hardness of Alg-1 and Alg-2 microcapsules varied with time in simulated gastric juice and showed significant difference at the second and third hour (P < 0.05, P < 0.01). The particle size of Alg-1 and Alg-2 microcapsules varied with time in simulated gastric juice and showed significant difference at the second and third hour (P < 0.05, P < 0.01). Alg-1 had no significant effect on the growth of NCU1315, but Alg-2 had inhibitory effect on the growth of Lactococcus lactis NCU1315. The survival rate of Lactococcus lactis in Alg-1 and Alg-2 microencapsulated groups was significantly higher than that in Free cell group at 24h, 48h and 72h (P < 0.05, P < 0.01). However, the survival rate of Lactococcus lactis in Alg-1 and Alg-2 microencapsulated groups decreased with time (P<0.05, P<0.01).
Characterization of the photomultiplier tubes for the scintillation detectors of GRANDProto35 experiment
Authors: Wang X. , Qian X.-L. , Yu Y.-H. , Feng C.-F. , Martineau-Huynh O. , Zhang Y. , Gou Q.-B. , Liu W. , Feng Y.-L.
Published: April 2021

GRANDProto35 is the first stage of the GRAND project. It will be composed of an array of 35 radio antennas and 24 scintillation detectors in which the radio and scintillating subarrays will be triggered independently. The scintillation detector array allows to cross-check the radio array, thus quantitatively determine its detection efficiency. The photomultiplier of Hamamatsu R7725 is a candidate for the scintillation detector. The characteristics of the PMT will directly affect the resolution of the time and energy measurements and the dynamic detection range of a scintillation detector. A voltage divider circuit featured with dual-readout was designed for the PMT to cover a larger linear dynamic range (LDR). Some characteristics of the PMT were calibrated and investigated: the absolute gain, single photoelectron (SPE) energy resolution, transit time spread (TTS), linear dynamic range, and temperature dependence of the PMT gain. In this paper, details about the system setup, measurement methods, and results will be described.
Xenogeneic dentin matrix as a scaffold for biomineralization and induced odontogenesis
Authors: Li Hui , Ma Bo , Yang Hefeng , Qiao Jia , Tian Weidong , Yu Riyue
Published: April 2021

Commonly recognized mechanisms of the xenogeneic-extracellular matrix-based regenerative medicine include timely degradation, release of bioactive molecules, induced differentiation of stem cells, and well-controlled inflammation. This process is most feasible for stromal tissue reconstruction, yet unsuitable for non-degradable scaffold and prefabricated-shaped tissue regeneration, like odontogenesis. Treated dentin matrix (TDM) has been identified as a bioactive scaffold for dentin regeneration. This study explored xenogeneic porcine TDM (pTDM) for induced odontogenesis. The biological characteristics of pTDM were compared with human TDM (hTDM). To investigate its bioinductive capacities on allogeneic dental follicle cells (DFCs) in the inflammation microenvironment, pTDM populated with human DFCs were co-cultured with human peripheral blood mononuclear cells (hPBMCs), and pTDM populated with rat DFCs were transplanted into rat subcutaneous model. The results showed pTDM possessed similar mineral phases and bioactive molecules with hTDM. hDFCs, under the induction of pTDM and hTDM, expressed similar col-I, osteopontin and alkaline phosphatase (ALP) (all expressed by odontoblasts). Whereas, the expression of col-I, dentin matrix protein-1 (DMP-1) and bone sialoprotein (BSP) were down-regulated when cocultured with hPBMCs. The xenogeneic implants inevitably initiated Th1 inflammation (up-regulated CD8, TNF-α, IL-1β, etc) in vivo. However, the biomineralization of pre-dentin and cementum were still processed, and collagen fibrils, odontoblast-like cells, fibroblasts contributed to odontogenesis. Although partially absorbed at 3 weeks, the implants were positively expressed odontogenesis-related-proteins like col-I and DMP-1. Taken together, xenogeneic TDM conserved ultrastructure and molecules for introducing allogeneic DFCs to odontogenic differentiation, and promoting odontogenesis and biomineralization in vivo. Yet effective immunomodulation methods warrant further explorations.
Efficacy evaluation of an in situ forming tissue adhesive hydrogel as sealant for lung and vascular injury
Authors: Balakrishnan Biji , Payanam Umashanker , Laurent Alexandre , Wassef Michel , Jayakrishnan Athipettah
Published: April 2021

In situ forming tissue adhesives based on biopolymers offer advantages over conventional sutures and staples in terms of biocompatibility, biodegradability, ease of application and improved patient compliance and comfort. Here, we describe the evaluation of in situ gelling hydrogel system based on dextran dialdehyde (DDA) obtained by periodate oxidization of dextran and chitosan hydrochloride (CH) as tissue adhesive. The hydrogel was prepared by reacting aldehyde functions in DDA with the amino functions in CH via Schiff’s reaction. The gelation reaction was instantaneous and took just 4 s. The DDA-CH hydrogel as tissue adhesive was evaluated on a sheep lung parenchymal injury model and a pig aortic model and was compared with the commercially available tissue sealant, Bioglue®. The DDA-CH glue could completely seal the sheep lung incision site even at inflation with air way pressure of 30 cm of H2O with no air leak observed in the incision sites (n = 8) in any of the animals. Histological analyses showed mild inflammation after 2 weeks, comparable to Bioglue®. Resorption of test material by giant cells with no adverse effect on lung parenchyma was seen after 3 months. The DDA-CH glue was also very effective in sealing aortic incisions in a pig model (n = 4) with no failures and aneurisms. The endoluminal surface of the sealed incision in all cases showed intact apposition with adequate healing across the incision. No tissue necrosis or inflammation of endothelial surface could be seen grossly. Our studies show that the DDA-CH hydrogel could function as an effective sealant for the prevention of air and blood leaks following lung and vascular surgery.
Current and future flood risk of new build homes across different socio-economic neighbourhoods in England and Wales
Authors: Rözer Viktor , Surminski Swenja
Published: April 2021

Despite improvements in the management of flood risk and the introduction of new regulations, losses from flooding remain high. An important driver is the continuation of new assets being built in flood prone locations. Over the last decade over 120 000 new homes in England and Wales have been built in flood prone areas. While the yearly rates of new homes in flood risk areas have increased only moderately on the national level, significant differences between and within regions as well as between different flood types exist. Using property level data on new homes built over the last decade and information on the socio-economic development of neighbourhoods, we analyse spatial clusters of disproportional increase in flood exposure from recently built homes and investigate how these patterns evolve under different future climate scenarios. We find that a disproportionately higher number of homes built in struggling or declining neighbourhoods between 2008 and 2018 is expected to end up in areas at a high risk of flooding over their lifetime as a result of climate change. Based on these findings, we discuss issues regarding future spending on flood defences, affordability of private level flood protection and insurance as well as the role of spatial planning for adaptation in the face of climate change.
Research on the Business Model of Multi-station Integration of Grid Enterprises
Authors: Li Siwu , Ma Xiaodi , Lian Weihong , Pan Chan
Published: April 2021

In the context of national strategies such as the energy revolution, “Internet +” and innovation drive, the transformation of traditional energy-based enterprises to integrated energy service providers has become a general trend. Multi-site integration is an important field of integrated energy services. This article takes the business model theory as From the perspective, based on the interpretation of the basic connotation and business model theory of multi-site integration, starting from the four-element model of the business-level business model, the four aspects of business layout and scope, value proposition, target customers, and profit model are the power grid under the energy Internet environment. Provide suggestions on the design of multi-site integrated business model for enterprises.
The influence of knowledge management toward innovation and its impact to food and beverage business performance
Authors: Hidayat C , Hamali S , Faradilah R
Published: April 2021

The aim of the research was to know the influence of knowledge management toward innovation and its impact on business performance, conducted at food and beverage businesses in west Jakarta. This was an explanatory research which applied a quantitative research methods with data analysis tools using structural equation modeling (SEM) using WarpPLS 6.0. The result of the research indicates that knowledge management has a positive and significant effect on business performance. Innovation contributes positively and significantly toward business performance. Knowledge management has a positive and significant impact on innovation.
Sustainable agricultural reform and the persistence of poverty in Indonesia: A path dependence analysis
Authors: Karim M F , Mursitama T N , Affandi R A , Permana A , Kholid M
Published: April 2021

The most important characteristic of poverty in Indonesia is the prevalence of poverty in the agricultural sector. What is the main root of poverty in the agricultural sector in Indonesia? By analyzing the historical account of agrarian reform, the paper examined the evolution of policy toward peasant and agricultural sector in Indonesia from 1960s. It argued that the lack of peasants’ accessibility of land ownership, government reluctance to revitalize agricultural sector, as well as the failed land reform agenda have contributed toward massive poverty in Indonesian agricultural sector. The paper provided further analysis of current Indonesian policy toward agricultural sector.
A review of traffic violation detection technology in reporting mechanism
Authors: Alaydrusl A , Putra W K , Nugroho Y , Muhammad  , Surantha N
Published: April 2021

Traffic Violation Detection system using radio frequency identification (RFID) has been applied to detect vehicles with limited power sources through RFID Tag. Camera sensors are also applied to identify a vehicle and its plate number through image and video processing known as computer vision. On the other hand, vehicular ad hoc network (VANET) to gain information about location, speed, and so on through the vehicle-to-vehicle (V2V) connection. Lastly, the internet-of-things that is backed-up by cloud computing helps to store various information from each of these technologies and process them to get results. Many researchers have proposed and developed algorithms or technology with astonishing experimental results of them. However, there has been no review of the integration and reporting mechanism that correlates them. There has also been no review about how to connect the information to the authority and violator. Therefore, the review was made to explain each technology’s method with their experiment’s results and issues. Moreover, the future challenge also had been given to further research.
Factors in the comfort of a vertical mouse and the recommended for Indonesian user
Authors: Iswara L , Prastitasari D , Nabil A , Perwira S B , Sahroni T R
Published: April 2021

In a traditional mouse, the design is usually made to position the arms and palms facing down so that the forearm muscles will be tenser, and posture or position is not ideal on the wrist which will be more at risk of disruption of the wrist nerve (median). The wrists carry out repetitive movements for long periods to type and hold the mouse which generally uses a combination of strength and repetition of movements of the fingers and hands over a long period. As a result of excessive use of these hands can be a trigger for the risk of Carpal Tunnel Syndrome (CTS). This syndrome occurs when the nerves in the wrist are squeezed or compressed, causing a condition that makes the fingers experience a tingling sensation, numbness, pain, or weakness. To avoid this problem, a vertical mouse is recommended to use. Vertical mouse factors include width, height, and button switch position. The aim of the research was to obtain information based on experiments of which factors most influenced user convenience and the proposed design vertical mouse with a size suitable for Indonesian.
Hand dryer with sanitizer to support sustainability and ergonomic for user
Authors: Rozi R F , Sudiarta Y , Kalay A G , Sahroni T R
Published: April 2021

The paper presented the design and analysis using Design for Disassembly methodology. Based on detailing material selection, use simpler materials, use environmentally friendly packaging, reduced packaging size had to be considerate for the product development. The benefit of simplified process, less production machines were used, needed energy to drive machines could be more efficient. The less amount of material used the less waste after the product life was over. The selection of material affected the recycling process. With design methods, the shorter the production process, the more energy savings, packaging could be more concise. The paper is divided into three main concepts, including 3D images with SolidWorks, material selection, and material evaluation for making it easier to analyse and determine type of material will use next. Based on the process of selection and evaluation, a new design of a hand dryer was proposed using four high density ABS, VLDPE, HDPE, and PP materials. The next step, SolidWorks to create a 3D display for a suitable hand dryer. The research focussed on the design that can support to all user even for children and disabilities, beside that it considers material to support sustainability.
Ergonomics and anthropometry analysis from the Point-of-Purchase (POP) element in achievement of customer satisfaction in the retail space
Authors: Hartanti G , Hendrassukma D
Published: April 2021

Impulsive buying means consumer tendency to buy items off one’s product list. This conditions created by shop in order to influence customer behaviour, so the purpose of the research was to know the influence of interior display on impulsive buying behaviour. According to the marketer’s goals, impulse buying has positive effects on company income. The research aimed to measure the effectiveness of implementation of POP display strategy in retail spaces. It needs a set of works to achieve the best design, ergonomic is one of the qualifications to achieve qualified, certified design, and customer need. How far the extent of design fulfils the functional techniques, aesthetics quality, and economic, it needs evaluation by using some basic qualifications. Ergonomic is needed for post evaluation product examination. Beside functionality, good design should give safety, health, security and enjoyment for human when they use and operate the product of the design. The results of the research are in terms of POP elements which can be a solution for retail industry in their efforts to gain benefit and retain customers.
Analysis of delay factors on drilling projects on PT China Oilfields Services Limited
Authors: Sardjono W , Perdana W G , Ansori R , Utama D N
Published: April 2021

In carrying out drilling projects at PT China Oilfields Services Limited ( COSL) Indo, especially Project 1 to Project 4, there were a mismatch between the initial plan of the project and the actualisation in the field because there were inhibiting factors in implementing the project. The purpose of the research was to look the factors that caused for the additional time in well drilling project at PT. COSL Indo, to build a relationship model of these factors, and formulate a strategy for the company to be able to overcome the occurrence of additional time in the future project. Data analysis was conducted by using a factor analysis method and the location of the research was carried out in just one company with 102 valid respondents. The results of the research indicate that there are four factors that influence the time gap, namely Project Management Activities, Risk Analysis and Procurement, Manage Stairs, and Project Planning Development. By knowing the causes of the delay, companies can find the best solutions for future learning and the impact on environmental, social and economic problems can also be anticipated so that sustainable development occurs in the context of petroleum management.
Persona in a form of mood boards as a part of the design process
Authors: Warbung T , Soedarso N , Carina R , Zahra A
Published: April 2021

The research aimed to design a mood board by using persona as a tool to understand consumers. Persona helps clients and designers better understand the target consumers of the organization and map consumers’ desires and needs. The research was a case study of Loewee Cipta Busana, one of Indonesia’s garment companies that planned to design a visual identity. However, to complete the final process of designing a visual identity, a visual guideline in the form of a mood board was required. The research aimed to illustrate the whole design process and to what extent a mood board could be a useful tool to communicate with clients; to minimize the waste of guessing what the client wants. The research’s result is a mood board which can help designers generate and develop ideas, keywords, and visual assets more quickly due to consumers’ understanding. Mood board helps designers to communicate with clients regarding the design concept. Mood board can also help clients have a clearer direction about what they can do to expand their network and communicate their offerings to the broader market.
The fuel consumption density due to phantom traffic jam
Authors: Gunawan FE
Published: April 2021

In the research, we quantified the amount of fuel consumed during a phantom traffic jam and compare it with that without the jam. We adoptd an approach from a microscopic perspective where the vehicle dynamics were closely observed and monitored. The required traffic dynamics data were obtained from a previous work where the phantom traffic jam was reproduced in a laboratory setting. The test involved 22 vehicles moving a circular road with a circumferential length of 230 meters. During the test, each driver was requested to drive at the velocity of 30°C;km/h. Considering the proximity of each vehicle to its leader, the phantom traffic jam was instantly produced in the traffic flow. The test allowed us to quantify each vehicle acceleration, velocity, and position, from which the fuel consumption rate could be estimated at each time instant. We compared the fuel consumed by the vehicle for crossing two road segments with and without the phantom traffic jam. Utilizing a numerical integration, we quantified the required fuel for each segment. The result suggests that the vehicle during phantom traffic jam may consume the fuel as much as thrice of those without the jam.
Museum restoration for city development and community purposes
Authors: Salim P
Published: April 2021

The aim of the research was to explore the heritage and historic church building in 18th century that converted into a museum having its great historical value and stand as sustainable architecture for decades. To preserve the architecture of the building, a restoration was done gradually and still maintained the uniqueness of the initial building form. The paper was to show the society about restoration of an old ancient building that was transformed into a modern museum supporting the city development. The research used observation and literature study as method, supported with pictures and data from the museum. Literature related to the ancient museum, green design material, and city development had been reviewed to provide sufficient data for discussing about restoration in a city. The result shows that an old ancient building can be developed into a beautiful with magnificent architecture restoration. Culture is still considered as a form of preservation of historic building. The research will give good impact for the development of city and as a sustainable architecture in the future.
Mobile application to track people in covid19 monitoring and patients under covid19 supervision
Authors: Chrysler A , Warnars H L H S , Utomo W H
Published: April 2021

It is crucial for the community including the government and health workers to collaborate to halt the spread of Covid-19. The idea of developing the mobile application surfaced from the previous findings. Previous researches have implemented and developed different features to better the application. The development of a mobile application to provide a platform that will assist people with information regarding patients that are around the perimeter of users to help notify them. With the help of the notification, users will be able to avoid the chances of them being in contact with the people (ODP), patients that are under surveillance (PDP) confirmed patients. All patients including ODP and PDP are required to have the application therefore, the Minister of Health will be able to track the geolocation of patients. Moreover, people will be able to be aware of patients that are around their perimeter. Therefore, with the help of the application, it will be able to help assist the community for them to be aware of and to be able to avoid being in contact with the infected patients.