bluuebunny/crossref_metadata_2025_split huggingface dataset:
Motion simulation of Bionic Auxiliary Device for Ankle Rehabilitation based on small driving moment function
Authors: Li Hongpeng , Xia Chen , Li Feilong , Yin Jun , Wang Xiaoliang , Cheng Jiacai , Yang Bingran , Dong Penchant , Chen Enzhi 
Published: March 2021

Abstract
A kind of auxiliary device for ankle rehabilitation based on a ball pin vice is introduced in this paper first. The device has two degrees of freedom, while three-dimensional movement of the ankle can be achieved approximately. The modeling and simulation process of the ankle joint rehabilitation device are described in this paper. Motion simulation is preceded by using ADAMS for researching its dynamics and kinematics performance when the upper platform adopts small driving moment function to control the movement. The results are compared with the results of motion simulation driven by modified constant velocity function. The results show that the maximum driving torque of the motor driven by the small driving moment function is less than the maximum driving torque of the motor driven by the modified constant velocity function, which has a certain effect on saving energy consumption of the motor.
Simulation and Research on Dynamic Crushing of Rod Concrete
Authors: Zhu Ying , Meng Zhaoxing , Lv Haiqiang 
Published: March 2021

Abstract
The dynamic mechanical properties of waste glass powder concrete are studied, and the dynamic compressive strength, peak strain, stress-strain curve and dynamic enhancement factor change with strain rate and waste glass powder content are analyzed. Based on the HJC model of concrete, the SHPB test was simulated by ANSYS/LS-DYNA software. With the increase of impact pressure, the phenomenon from block spalling to aggregate crushing appears. When the impact velocity is low, several radial through cracks appear in the test block, and the test block is separated into several blocks with larger volume. With the increase of impact velocity, multiple cracks develop simultaneously.
Design and Simulation of Elevator Emergency System Based on TIA Portal V15.1
Authors: He Huajin , Long Yinxin , Yu Wei 
Published: March 2021

Abstract
The main control system of the elevator can issue different instructions for the operation of the elevator according to the different needs of users, so as to achieve the purpose of transporting people and goods efficiently. With the continuous development of China’s elevator industry and the significant increase of elevator installed capacity[1], In practical engineering, higher requirements are put forward for elevator safety. In this regard, based on Siemens Portal platform, this paper designs an automatic control emergency system including overweight, over travel protection, door opening and closing protection, to assist the main control system to maintain the normal operation of the elevator. The proposed scheme is simulated in the Elevator Simulation platform, and the results show that the emergency system can effectively prevent the wrong operation during the operation of the elevator, and greatly improve the safety of the elevator. At the same time, because the system is written in LAD language and has good readability and portability, it can be widely used in the elevator master control system with Siemens PLC as the main controller.
Research of Gear Modification on Noise Optimization of EV Reducer
Authors: Liu Jing , Xiong Fei , Wei Dan , Chen Chen , Sun Chao 
Published: March 2021

Abstract
Based on the simulation software MASTA of gear system, the micro-modification optimization can effectively improve the howling noise. Through gear contact spot test and simulation calibration, the correction model of gear can be established. In order to reduce the transmission error of gear, and optimize the gear contact pattern, the micro modification of gear was researched. It is found that the micro modification of gears can effectively improve the howling noise of gears. The study could improve the ability of independent research and development of gear system.
Research on Pressure Loss and Compensation in Automatic Detection of Pressure Quality of Hydrocephalus Shunt
Authors: Dong Quancheng , Ji Ping , Wan Min , Shi Kai , Sun Xuan 
Published: March 2021

Abstract
In the automatic pressure quality detection of hydrocephalus shunts, the extension pipes installed on the test piece, the mounting base of the sensor, etc. will cause pressure loss, resulting in distortion of the detection results. This paper uses CFD software to simulate and analyze the pressure loss along the way caused by the extension pipeline and the local pressure loss caused by the installation base. According to the factors affecting the pressure loss along the way such as liquid flow rate, pipeline inner diameter, pipeline length, etc., the pressure loss along the way under different pipeline lengths, different pipeline inner diameters, and different flow speeds are measured, and single-factor and multi-factor influences are carried out according to the simulation data. Analyze and establish a regression model for pressure compensation. According to the main influencing factors of local pressure loss, sudden reduction ratio, and flow rate, pressure field analysis is carried out. The simulation results show that single factors such as flow velocity and inner diameter, as well as the coupling effect of pipeline inner diameter and flow velocity, have a significant impact on pressure loss along the way, and an increase in the sudden reduction ratio will lead to an increase in local pressure loss. Experimental verification shows that the constructed pressure loss regression model can effectively compensate for the automatic pressure detection of hydrocephalus shunt.
Research on Power Enterprise Data Model Online Management Decision System Based on Big Data
Authors: Cheng Zhihua , Ye Yong , Huang Wensi , Zhang Yiqi , Lan Liang 
Published: March 2021

Abstract
At present, with the development of cloud computing and data analysis technology, big data technology based on cloud computing is also making continuous progress. As a cutting-edge technology based on cloud computing processing technology, big data technology is widely used in our daily production and life, bringing great convenience to our work, study and life. Under the background of today’s big data era, the new era has brought great impact on all walks of life. If everything wants to keep pace with the development pace of the times, it is necessary to carry out reform, innovation and development. In order to deal with the challenge brought by this impact, this paper proposes a research method of online management decision system of power enterprise data model based on big data background. Through big data technology, the current research status of online management decision system of power enterprise data model is analyzed. Combined with the new requirements of big data era, a set of electric power suitable for the new era is formulated Development plan of enterprise data model online management decision system. Through long-term research and observation, it can be found that the method proposed in this paper is of great significance to the research of power enterprise level data model online management decision-making system based on big data background.
Simulation and Analysis of Radial Temperature for Aluminum Conductor Steel Reinforced with 1250mm2 Large Cross-Section
Authors: Zhang Jian , Liu Shengchun , Liu Zhen , Zhang Zhao 
Published: March 2021

Abstract
In order to meet the growing demand for electricity, the construction of UHVDC project has vigorously carried out. With the improvement of voltage level, the cross-section of conductor also increases. For large cross-section conductor, the number of steel and aluminum single wires and layers of the conductor are large, and the internal structure is very complex. It has been proved that there is a temperature difference in the radial direction of the conductor due to the contact heat transfer between steel and aluminum based on previous studies. However, most studies are focused on normal conductors, not large cross-section conductors. Therefore, in this paper, the geometric model and temperature calculation model for 1250mm2 large cross-section ACSR conductor, which is widely used in UHVDC, were established. Simulation of conductor temperature distribution was carried out, and the influence of wind velocity, environment temperature and current on radial temperature difference was analyzed. The results show that, with the increase of wind velocity and the decrease of current, the radial temperature difference of conductor decreases gradually, while the environment temperature has little influence on the radial temperature difference.
Power Towers Knowledge Base Model Construction and Inference Analysis Based on Ontology
Authors: Gao Yuan , Wang Hongxing , Huang Zhen , Zhou Hang , Zhou Shikang 
Published: March 2021

Abstract
Due to the knowledge limitations in current traditional manual inspection of power towers and the difficulty of knowledge sharing and management, this paper would discuss the components of power towers with the characteristics and connections of different components based on the analysis on manual inspection. And then, an ontology-based knowledge model construction would be established for power towers. Finally, the potential association relationships in the model would be analysed according to the ontology inference rules, and the hidden information was excavated with several examples. The establishment of this knowledge base provides technical support for the path planning of UAV’s automatic inspection and helps with the fault diagnosis and identification so that it improves the sharing and reusability of knowledge in the field of power towers.
Research and Application of a New Type of Substation Transportation Inspection Simulation Training System
Authors: Wang Meikun , Gao Feng , Shi Jiaoyang , Zheng Wensu , Zhao Xilan , Wang Tuo 
Published: March 2021

Abstract
For the shortcomings of the existing professional training for substation operation inspection, this paper proposes a design of a new type of substation operation inspection simulation training system based on networking, adaptive learning, gamification and other technologies. The system solves the problem that substation operators lack modern training tools and cannot carry out networked simulation learning, and conduct targeted and personalized learning based on user knowledge and skills. The system lacks guidance and evaluation functions in the learning process, and the system lacks interest and cannot effectively stimulate learners’ interest in learning and other issues. The research results of this article have been successfully applied in the Gansu Electric Power Company and have obtained good training effects.
Using Machine Learning to Inductively Learn Semantic Rules
Authors: Jabardi Mohammed H. , Hadi Asaad Sabah 
Published: March 2021

AbstractThe Semantic Web and Machine Learning usually are seen as incompatible approaches toward Artificial Intelligence. A proposal presented for integrating the two paradigms and used data from Twitter regarding legitimate and fake accounts. Online Social Networks (OSN) such as Twitter have become a part of our lives due to their ability to connect peo-ple around the world, share documents, photos, and videos. OSN’s such as Facebook, Twitter and LinkedIn have approximately 500 million users over the world; this massive population of OSN causes different kinds of problems regarding data security and privacy. Unauthorised users infringe on the privacy of legitimate users and abuse names and cre-dentials of victims by creating a fake account. We utilised Machine Learning to inductive-ly learn the rules that distinguished a phoney account from a real one. We then imple-mented those rules in a Web Ontology Language (OWL) ontology using the Semantic Web Rule Language (SWRL). This integration provides the benefits of the data-driven ML approach combined with the explicit knowledge representation and the resulting ease of explanation and maintenance of the Semantic Web paradigm.
Transmittance on combinatorial structures of triple potential barriers
Authors: Supriadi B , Nasiroh C , Pratikha A R , Kaulyn M A , Putri D K S , Anggraeni F K A 
Published: March 2021

Abstract
Semiconductor materials used as potential barriers in the study are GaAs, GaSb, and AlAs. These materials will be arranged in certain combinations to form triple potential barrier structures and the effect of combinations will be analysed against transmission coefficient values. In this study, the maximum energy of the electron is 1 eV and the matrix propagation method is used where the effect of the combinations structure on transmission coefficient values is numerically analysed using a computational program. The results showed that the structuring potential barrier affects the value of the transmission coefficient. In the uniform barriers arrangements, the value of the transmission coefficient decreases with increasing potential barrier energy. Whereas in the arrangement of different barrier combinations, two opposing combination arrangements have the same transmission coefficient values. Thus, from six combination arrangements, there are three kinds of transmission coefficient values. The maximum transmission coefficient value is 1.000 in the triple potential barrier of GaSb at 0.49 eV. Research on the tunnel effect contributed to the development of electronic and optoelectronic devices such as transistors and lasers.
The relation between H2SO4 content on latex and irritant contact dermatitis on workers in plantation area company of sumber tenggulun Jember
Authors: Kiptiyah M , Wahyuni D 
Published: March 2021

Abstract
Dermatitis was a type of skin disease which caused by skin inflammation. The Irritant Contact Dermatitis (ICD) was a reaction which appeared when the skin got contact to toxic chemicals which caused to inflammation. The aim of this research was to examine characteristics of workers and H2SO4 content which were related to the case of irritant contact dermatitis on rubber plantation workers in a plantation area company of Sumber Tenggulun Tanggul Jember. The research design was descriptive quantitative research which would figure out the causal relationship of contact dermatitis disease to the workers, particularly in the relation with chemicals. The research population was taken from all workers in the plantation area company of Sumber Tenggulun Jember. The data sampling exerted total sampling technique on 35 samples. The data analysis was logistic regression method which aimed to analyze the data by describing or illustrating the collected data as it should be without drawing any general conclusion or generalization. The research finding referred that factors of age, gender, genetics, chemicals use, and exposure characteristic affected insignificantly to the case of irritant contact dermatitis. The plantation should recommend the workers to wear personal protective equipment as an earlier protection from the dangers of accident and occupational disease.
The diversity of freshwater fish in sanenrejo and wonoasri river resorts from meru betiri national park
Authors: Subchan W , Susilo V E , Khairiyah Y , Wahyudewantoro G , Ariyunita S , Rohman A 
Published: March 2021

Abstract
Freshwater fish diversity is the number of fish species found in freshwater areas. This research is an exploratory study aimed at the diversity of freshwater fish in the Sanenrejo and Wonoasri Resort’s Rivers of Meru Betiri National Park. Fishes were caught using gill nets with mesh sizes 0.5 inch and handnet The level of diversity of freshwater fish in the Sanenrejo and Wonoasri Resorts is classified as being moderate with the diversity index values in the Sanenrejo and Wonoasri Resorts respectively 1.5902 and 2.2323 while the overall index value is 2.4102. Freshwater fish found consisted of 15 species, namely: Barbodes binotatus, Trichopodus trichopterus, Neovespicula depressifrons, Rasbora lateristriata, Planiliza subviridis, Orechromis niloticus, Eleotris melanosoma, Dermogenys pusilla, Periopthalmus argentilineatus, Pterygoplichthys pardalis, Channa gachua, Butis butis, Nemacheilus fasciatus, Siycopterus cyanocephalus, and Monopterus albus.
Phytoremediation of phosphate using Typha sp. and Echinodorus palaefolius
Authors: Fitria F L , Dhokhikah Y 
Published: March 2021

Abstract
Jember Regency is an agricultural area. Giving fertilizer is one of the agricultural activities. It usually contains a phosphate. If fertilizer is used too much, it will cause environmental pollution. The level of phosphate pollutants increase that can cause eutrophication. Phytoremediation is a plants utilization technology to reduce pollutants. This study aims to determine the effect of Typha sp. and Echinodorus palaefolius to reduce phosphate levels from fertilizer residues. The research reactor was a batch. The reactor used bed evapotranspiration system. Phytoremediation test analysis was carried out every two days for 8 days. Typha sp. and E. palaefolius on the day 8th observation levels phosphate were down by 90,33% and 92,86%. The most efficient in this experiment was E. palaefolius.
Multi arm bandit optimization to mitigate covid19 risk
Authors: Aurachman R. 
Published: March 2021

Abstract
Covid19 pandemic has occurred since 2019. The spread of the virus prevents humans from doing their normal activities. The inability of people to have normal activities also has a bad effect on the economy. The government is trying to start opening public activities in the hope of sustaining economic growth. However, this policy risks doubling the spread of the virus. This research proposes a way to mitigate the risk of the pandemic using multi arm bandit optimization. With this approach, the system is guided to independently look for which sectors can be opened and which sectors should be closed temporarily.
On rainbow antimagic coloring of graphs
Authors: Budi H S , Dafik  , Tirta I M , Agustin I H , Kristiana A I 
Published: March 2021

Abstract
A rainbow antimagic coloring is one of new topics in graph theory. This topic is an expansion of rainbow coloring that is combined with antimagic labeling. The graphs are labeled with an antimagic labeling, and then the sum of vertex label have to obtain a rainbow coloring. The aim of the rainbow antimagic coloring research is to find the minimum number of color, called rainbow antimagic connection number, denoted by rac(G). In this research, we studied some simple graphs to be colored with rainbow antimagic coloring. The graphs we used are lollipop, stacked book, Dutch windmill, flowerpot and dragonfly. In this research, we aimed to develop new theorem. Based on the results, we got some theorems about rac(G) for the rainbow antimagic coloring. In addition, on some graphs that we use, we get rac(G) equal to rc(G), rainbow connection number. Instead, on the others, the value of rac(G) cannot reach the rc(G).
On resolving total dominating set of sunlet graphs
Authors: Ervani R S R , Dafik  , Tirta I M , Alfarisi R , Adawiyah R 
Published: March 2021

Abstract
The set D ⊆ V(G) is called dominating set on graph G so that every vertex not in D is adjacent to at least one vertex in D. The set Dt
⊆ V(G) is called total dominating set on graph G so that the vertex in Dt
are neighboring at least one dot in Dt
. The smallest cardinality of the total dominating set is referred to as total domination number. The total domination number in G is shown by γt
(G). The set of vertex Dt
⊆ V(G) is resolving total dominating set from G if the vertex representation u,υ ∈ V(G) with respect to x ∈ Dt
is r(υ|Dt
) so that r(υ|Dt
) ≠ r(u|Dt
). The smallest cardinality of Resolving total dominating set in G is shown by γrt
(G). In this article, we provide the results of the study for the differentiating number of total dominance from sunlet graphs.
The effect of the Covid 19 pandemic on the development of the knowledge graph as an integrated recovery accelerator
Authors: Sardjono W , Selviyanti E , Tohir M , Azizah R 
Published: March 2021

Abstract
The spread of the 2019 Corona virus Disease pandemic (Covid-19) resulted in many organizational entities being forced to redesign business processes, reducing the cost of reducing working hours, to terminating employment (layoffs). The informal sector has the worst impact. Thus, both the government and the private sector make various efforts in overcoming problems of social impact that arise. One of them is through the formation of the Task Force for the Acceleration of Handling Covid19 (covid19.go.id) as a single contact crisis center. However, the extent of the impact that arises will result in preventive, curative and promotive efforts at risk of not being handled properly. The implementation of knowledge management based on graphs (knowledge graph) will enable agile integration between various sources of information. The Graph Data Model captures the relationships of various different entities by connecting them through the edge of information extracted from various heterogeneous sources. After the data is represented in a graphical format, there are various analytic graph techniques for asking multi-hop (multi-node) relationships between entities in the knowledge graph that is built. In addition, graphs allow users to visualize data quickly, interactively and exploratively for analysis.
Resolving independent domination number of some special graphs
Authors: Mazidah T , Dafik  , Slamin  , Agustin I H , Nisviasari R 
Published: March 2021

Abstract
Dominating set is a set D of vertices of graph G(V, E) and every vertex u ∈ V(G) − D is adjacent to some vertex υ ∈ D. The set D is called independent set if no two vertices in D are adjacent. Independent domination number of G is the minimum cardinality of D and denoted by γi
(G). The metric representation of vertex υ in connected graph G with respect to an ordered set W = w
1,w
2,w
3,…,wk
of vertices is the k-vector r(υ|W) = (d(υ|w
1), d(υ|w
2), d(υ|w
3),…, d(υ|wk
)), where d(υ, w) represents the distance between the vertices υ and w. The set W is resolving independent dominating set for G if W is independent in G, and distinct vertices of G have distinct representations with respect to W. The minimum cardinality of resolving independent dominating set is called resolving independent domination number and denoted by γri
(G). In this paper, we analyze the resolving independent domination number of path graph, cycle graph, friendship graph, helm graph, and fan graph.
Global issues: utilization of e-commerce and increased use of mobile commerce application as a result of the covid-19 pandemic
Authors: Sardjono W , Selviyanti E , Mukhlis M , Tohir M 
Published: March 2021

Abstract
Covid-19 is a global emergency epidemic that affect all areas of life including the economy. Growth in the world economy has decreased due to lack of purchasing power that lasts for only at home policy. This policy is carried out to prevent the spread of covid-19, which on the other hand actually increases the use of e-commerce and mobile commerce as means of shopping. The use of e-commerce and mobile commerce is considered capable of helping consumers to buy basic necessities and health that are needed during activities at home. Buying and selling transaction through e-commerce and mobile commerce have increases during covid-19. Which is then utilized by e-commerce and mobile commerce by providing various attractive offers for consumers. The consumer does not need to interact with the seller and the items needed will be sent home.