bluuebunny/crossref_metadata_2025 huggingface dataset:
Coherent control mechanisms in bichromatic multiphoton ionization
Authors: Eickhoff K , Feld L , Köhnke D , Englert L , Bayer T , Wollenhaupt M
Published: July 2021

Free electron vortices (FEVs) generated by multiphoton ionization (MPI) with ultrashort laser pulses have attracted significant attention due to their varied symmetries and unusual topological properties. We study two physical mechanisms of coherent control in atomic MPI with bichromatic polarization-shaped femtosecond laser pulses which give rise to the rich variety of FEVs. In the experiments, we combine pulse shaping of a carrier-envelope phase-stable supercontinuum with photoelectron tomography to generate and reconstruct three-dimensional photoelectron momentum distributions (PMDs). Simultaneous measurements of energetically separated photoelectrons from intraband and interband interference in a single PMD allow us to compare phase and polarization control of the angular distributions by both mechanisms. We investigate phase control in three scenarios: first, counterrotating circularly polarized pulses are employed to contrast the phase-insensitive angular momentum eigenstate created by intraband interference via frequency mixing with the phase-sensitive c
7 rotationally symmetric FEV from pure interband interference of two single-color ionization pathways. In the second scenario, we use orthogonal linearly polarized pulses to compare the phase control properties of a six-lobed angular momentum wave packet from intraband interference to those of a complex shaped interband PMD in the presence of phase fluctuations. Finally, we demonstrate phase control of a photoelectron hologram from mixed interband interference. In a (3 + 1) resonance enhanced MPI scheme, the red pump pulse induces a bound electron wave packet probed by the time-delayed blue pulse. The latter simultaneously creates a reference wave packet by three-photon ionization to form the photoelectron hologram. Rotation of the hologram with c
1 or c
5 rotational symmetry maps the time evolution of the bound wave packet. To analyze our results, we develop analytical expressions for the wave functions of intraband and interband interference in perturbative non-resonant MPI. The experiments are complemented with two-dimensional TDSE simulations to follow the FEV formation dynamics and to validate the physical pictures.
Myoelectric control of robotic lower limb prostheses: a review of electromyography interfaces, control paradigms, challenges and future directions
Authors: Fleming Aaron , Stafford Nicole , Huang Stephanie , Hu Xiaogang , Ferris Daniel P , Huang He (Helen)
Published: July 2021

Objective. Advanced robotic lower limb prostheses are mainly controlled autonomously. Although the existing control can assist cyclic movements during locomotion of amputee users, the function of these modern devices is still limited due to the lack of neuromuscular control (i.e. control based on human efferent neural signals from the central nervous system to peripheral muscles for movement production). Neuromuscular control signals can be recorded from muscles, called electromyographic (EMG) or myoelectric signals. In fact, using EMG signals for robotic lower limb prostheses control has been an emerging research topic in the field for the past decade to address novel prosthesis functionality and adaptability to different environments and task contexts. The objective of this paper is to review robotic lower limb Prosthesis control via EMG signals recorded from residual muscles in individuals with lower limb amputations. Approach. We performed a literature review on surgical techniques for enhanced EMG interfaces, EMG sensors, decoding algorithms, and control paradigms for robotic lower limb prostheses. Main results. This review highlights the promise of EMG control for enabling new functionalities in robotic lower limb prostheses, as well as the existing challenges, knowledge gaps, and opportunities on this research topic from human motor control and clinical practice perspectives. Significance. This review may guide the future collaborations among researchers in neuromechanics, neural engineering, assistive technologies, and amputee clinics in order to build and translate true bionic lower limbs to individuals with lower limb amputations for improved motor function.
Wearable wireless power systems for ‘ME-BIT’ magnetoelectric-powered bio implants
Authors: Alrashdan Fatima T , Chen Joshua C , Singer Amanda , Avants Benjamin W , Yang Kaiyuan , Robinson Jacob T
Published: July 2021

Objective. Compared to biomedical devices with implanted batteries, wirelessly powered technologies can be longer-lasting, less invasive, safer, and can be miniaturized to access difficult-to-reach areas of the body. Magnetic fields are an attractive wireless power transfer modality for such bioelectronic applications because they suffer negligible absorption and reflection in biological tissues. However, current solutions using magnetic fields for mm sized implants either operate at high frequencies (

>

500 kHz) or require high magnetic field strengths (

>

10  mT), which restricts the amount of power that can be transferred safely through tissue and limits the development of wearable power transmitter systems. Magnetoelectric (ME) materials have recently been shown to provide a wireless power solution for mm-sized neural stimulators. These ME transducers convert low magnitude (

<

1 mT) and low-frequency (∼300 kHz) magnetic fields into electric fields that can power custom integrated circuits or stimulate nearby tissue. Approach. Here we demonstrate a battery-powered wearable magnetic field generator that can power a miniaturized MagnetoElectric-powered Bio ImplanT ‘ME-BIT’ that functions as a neural stimulator. The wearable transmitter weighs less than 0.5  lbs and has an approximate battery life of 37 h. Main results. We demonstrate the ability to power a millimeter-sized prototype ‘ME-BIT’ at a distance of 4 cm with enough energy to electrically stimulate a rat sciatic nerve. We also find that the system performs well under translational misalignment and identify safe operating ranges according to the specific absorption rate limits set by the IEEE Std 95.1-2019. Significance. These results validate the feasibility of a wearable system that can power miniaturized ME implants that can be used for different neuromodulation applications.
Analysis of Indonesian Soybean Production Result by Intercropping Plants
Authors: Budiharti Nelly , Wardana ING
Published: July 2021

Domestic soybean production in Indonesia is still lack in fulfilling the country’s demand. The soybean import rate is still high, for about 253% from the domestic need. Strategies were studied and developed to increase the domestic soybean production that could reduce the import rate. The objective of this study was planting domestic soybean together with vegetable crops, named intercropping method, in order to increase the production to meet the soybean demand. The principle of this research is testing some variables that affect the fulfillment of soybean needs to reduce imports. The research was conducted by experimentally using five superior varieties of Raja Basa, Mutiara 1, Dega 1, Dena 1, and Grobogan, to be grown next to small red chilli, long green eggplant and sweet corn plants. The experiments and data collection were carried out in carried out in Pulungdowo Village. The data processing and analysis were using an experimental design that is a random block design with a confidence level of 95%. The results showed that there was no difference in the use of varieties with vegetable crops on soybean production, but each Indonesian soybean variety has production potential according to the profile of the variety.
Growth and nutrients uptake of soybean (Glycine max L.) in response to cajeput waste compost and inorganic fertilizer
Authors: Isnatin U , Muhammad  , Rahayu  , Purnomo D
Published: July 2021

Productivity of Soybean in sandy soils is still low and cajeput waste is increasing in number. The purpose of this study was to determine the effect of the use of compost from cajeput waste and inorganic fertilizers to increase the growth and nutriens uptake of soybean. This research was conducted using a randomized block design, with treatment : control, NPK 150 kg/ha, compost 6 t/ha, compost 6 t/ha + NPK 50 kg/ha, compost 6 t/ha + NPK 100 kg/ha and compost 6 t/ha + NPK 150 kg/ha The results showed that soybeans fertilized by compost alone have dry weight of stem, N uptake and K uptake higher than without fertilizing at 26.19%, 23.21% and 36.11% respectively. Increasing the dose of NPK fertilizer combined with compost can increase N and K uptake, but reduce the number of root nodules. The highest dry weight of stem, N uptake and K uptake in compost fertilizer combined with NPK of 150 kg/ha were respectively 2.31 g / plant, 0.076 g / plant and 0.056 g / plant.
PLANT GROWTH REGULATOR OF AUXIN CONTENT IN FERMENTED COCONUT WATER WASTE
Authors: Murni Ningtias Ningsih Elik , Sudiyono  , Dwi Anggraeni Frida
Published: July 2021

Abstract :Natural Plant growth regulator (PGR) of auxin as a plant growth promoted was found in coconut water waste. The addition of glucose and tryptophan improved the quality of the substrate in the fermentation of coconut water waste. The addition of tryptophan glucose could reduce acidity / pH and produced acetic acid. Acetic acid was the source of plant growth regulator of auxin was in the form of IAA compounds (Indole acetic acid). The process of Auxin separation (IAA) was through extraction and isolation. This study was aimed to determine the content of plant growth regulator of auxin in fermented coconut water waste with the addition of glucose and tryptophan. This study used a completely randomized design with a single factor treatment. The treatments were consisted of P0 = coconut water waste, P1 = coconut water waste and 1.5 g glucose, P2 = coconut water waste and 1.5 g glucose, P3 = coconut water waste and tryptophan 8 mg P4 = coconut water waste and tryptophan 10 mg. The results of glucose and tryptophan were affected in pH and acetic acid after fermentation. The addition of tryptophan was affected the amount of plant growth regulator of auxin in fermented coconut water waste. The best treatment that obtaining IAA was P3 and P4.
AR MOOC’s (Augmented Reality Massive Open Online Course) to Support the Implementation of Distance Learning
Authors: Nidhom A M , Putra A B N R , Azhar Ahmad S
Published: July 2021

This study aims to reveal (1). Development of Augmented Reality (ARMOOC’s) coupled with MOOC’s to improve distance learning; (2). Fraction of the concept of All Education Blended which shows learning constantly updated; (3). The results of this study are the MOOC’s concept which is integrated with the actual Augmented Reality, MOOC’s as a place for student access through an online system that can be accessed anywhere and anytime, while Augmented Reality as a supplement of content that supports student activities to find out about learning. The results of the development of AR MOOC’s can be concluded as follows: (1) The development of AR MOOC’s (Augmented Reality Massive Open Online Courses) has the value of efficiency and effectiveness at the usability test stage of 88.9% which shows that the level of user usability is very high in AR MOOC’s ; (2). The application of AR MOOC’s as a supporter of distance education is quite successful, this is evidenced by 81.2% of users giving very good responses to universal use and the remaining 8.8% stated that it was sufficient; (3). The results of quantitative data indicate the significance of an increase in interest and ease of learning> 0.05, so it can be proven that the development of AR MOOC’s can be generalized to distance learning.
Android-Based Nutrition Education Application
Authors: Sudarmilah Endah , Randy Alvian Dony
Published: July 2021

Nutrition is a constituent of foodstuff having an important function to body health. Many people ignore as to how the food can influence the body. Due to their negligence, it is often that the calorie or energy entering the body is excessive resulting in a negative impact on the body health. The lack of nutrition knowledge along with the negligence of food intake arrangement entering the body can have a negative impact on the body. Therefore, the needs to find out the number of nutritional need required by the body can be manually calculated; however, it is a little bit complex. This study aimed to design application to provide nutrition education easiness in finding out the nutrition needs and arranging the proper food pattern. The application was made by using studio android with database firebase and operated by using Android Smartphone, Harris Benedict method in calculating energy, System Development Life Cycle (SDLC) method approach with the Waterfall model. This study result was Android-based nutrition education application. In this application, there is a user menu to find out the nutrition needs and administrator in managing data. System testing was performed by Black box, expert validation test, and System Usability Scale (SUS) method, with 30 respondents resulting in a very good SUS score of 84.5 and thus the application can be accepted.
Modeling of Convolutional Neural Networks for Detection and Classification of Three Vehicle Classes
Authors: Rofii Faqih , Priyandoko Gigih , Istiadi  , Ifan Fanani Mohammad
Published: July 2021

The increasing number of vehicles causes traffic density on each road segment, especially in urban areas. Planning and regulating vehicle traffic, requires traffic flow parameter data, which currently is still largely done manually by assigning several people to count vehicles passing divided by a certain time period. The development of artificial intelligence in the field of computer vision enables the observation of traffic data using smart cameras. This study aims to produce a Convolutional Neural Netwoork (CNN) model for the detection and classification of three vehicle classes, namely bus, car and motorcycle. The architecture used to build CNN uses smallVGGNet with 3x3 convolution layers and one fully connected layer. The first three convolution layers are considered as feature extraction layers while the last one is for classification where there are three output types of vehicles. The model is trained using 3, 000 different images according to the class. In the training phase, it was determined 75 epochs where the consumption time of each epoch was ± 30 minutes so that the total time needed was 37.5 hours. The results of tests that have been done show that CNN models that have been trained can classify vehicle types with an accuracy of between 63-100%.
Development of Information and Communication Technology Infrastructure in School using an Approach of the Network Development Life Cycle Method
Authors: Siswanto D , Priyandoko G , Tjahjono N , Putri R S , Sabela N B , Muzakki M I
Published: July 2021

Information and Communication Technology (ICT) has become an essential requirement for the wider community, including in the educational environment. ICT has a vital role in supporting activities ranging from planning, operations, supervision, analysis to evaluation. In recent years, ICT has been considered mandatory for its existence in the educational environment. ICT can simplify the activities of teaching and learning process (TLP). ICT also closes distances apart and maintains the quality of TLP standards. This paper will describe the results of ICT development in a school using the approach method of network development life cycle. The result is that the connection to one Internet service provider being split into two networks, i.e. wired and wireless local area network. The selected bandwidth management methods are both simple queue and per connection queue. Besides, the terrace area on the 1st and 2nd floor can be served with very good to excellent quality. Whereas the terrace area on the 3rd floor can only catch low-quality signals without Internet connection. Moreover, applying the same service set identifier and password to both wireless routers allows users to handover between two wireless networks without having to re-register and reconnect to the serving network.
The implementation of value engineering using Zero-one Method to redesign the conventional tool for molding the cassava cracker
Authors: Silviana  , Hardianto Andy , Restu Wardhani Arie , Fuhaid Naif , Hermawan Dadang , Rizky Fadhillah Arief
Published: July 2021

This research aims to develop the model of decision making to select the best alternatives design of the molding tool in producing cassava crackers. This design is implemented to improve the production capability in SMEs of cassava crackers in Tulungagung, East Java, Indonesia. This cassava cracker is one of traditional food which includes in the strategies of Tulungagung government in empowering the local wisdom in the region. Even though this product becoming the favorite local food, the number of the product is not much in the market. This is because the production process is undertaken manually. In addition, the thickness and diameter are not precise, because the tool used is a molding machine using manual handle. It still needs a long time to yields the products. Also, it can cause a delay in order to fulfill market demands. Therefore, the researcher redesign machining tool in molding the cassava crackers to increase the production speed. There are four design alternatives, i.e. machine design A; machine design B; machine design C; and machine design D. The best alternative is depending on some criteria which are time efficiency, output quantity, the construction strength, hygienic, the dimension of machine, machine operational, and output quality. In selecting the best design, this research applies zero one method. The result shows that the best alternative was machine design B. It has the biggest weighted number by 28.158 among others. It means that the machine has a thick plain plate and the type to press in the molding machine utilises the pneumatic model.
Mechanical Properties of Starch-Based Biocomposite Foam with Bacterial Cellulose Reinforcement
Authors: Maulana J , Suryanto H , Sukarni
Published: July 2021

Biofoam is foam derived from starch so that it can be degraded and does not interfere with the environment. Cassava has the largest starch content among tubers, but the level of consumption of household people tends to make cassava a potential source of starch that is used in other forms such as biofoam. This study aims to determine the effect of the vary content of bacterial cellulose on cassava starch-based biocomposite foam. This research varied the content of bacterial cellulose to cassava starch, ie 0.0%, 0.5%, 1.0%, 1.5%, and 2.0% weight, then produce and tested its mechanical properties and surface morphology with the Scanning Electron Microscope. The results of this study are the highest tensile strength produced by biocomposite foam with the addition of 1% bacterial cellulose with an increase of 690.8 kPa and the most homogeneous cavity area produced by biocomposite foam with the addition of 1% bacterial cellulose.
Utilization of the Cube as a Medium for the Introduction of the English Alphabet for Preschoolers
Authors: Pradibta Hendra , Nurhasan Usman , Pratitis Eka , Krisiananda Khusnul
Published: July 2021

Awareness of the importance of mastering English now raises efforts to introduce and teach children about English as early as possible, such as preschool education or children aged 3-6 years. Constraints that are often faced are usually in the form of lack of enthusiasm of children to learn this. This is evidenced by the difficulty of children in memorizing and pronouncing letters in English. The choice of instructional media also greatly influences the level of students’ understanding of the material. Considering that preschool age is a time when children will be very interested in interactive multimedia content, this problem can be applied augmented reality technology. The learning concept used is based on student centers. So that the affective and psychomotor scope of students can be achieved. This instructional media in the form of a cube which contains a letter marker forming pieces. Students will scan from the cube containing letter markers. The scan results are a 3D view of the object marker. 3D objects will display the basic words beginning with the selected alphabet. Besides that, the application will also display the way of spelling the word accompanied by sound. The aim is to make it easier for children to remember words and letters in English. There is also a quiz feature as a material for evaluating students’ understanding of the material. From the results of the trial regarding the appropriateness of the application conducted at TK Dharma Wanita Unity the data obtained were obtained from the questionnaire given to the accompanying teacher, as many as 5.71% said the application was quite helpful, then as much as 42.86% said they agreed, and as much as 51.43% said strongly agreed that the application can help students’ level of understanding of the alphabet in English.
Side-Sweep Accident Detection System using Ultrasonic sensor
Authors: Malathi M , Priya R Anu , Mathuumitha N , Muthulakshmi M S
Published: July 2021

Accidents are one of the major reasons for loss of life. Many numbers of deaths occur due to road accidents. Passenger safety acts as the most important parameter. Carelessness is the first and foremost reason for the major accidents. This paper makes us to understand the cause of accidents, especially the side sweep accidents which occur in multi-lane highways. Side-sweep accidents acts as the major reason for death which occur due to accidents. This is when the driver wants to change the lane at the same time the other driver or vehicle obstructs the road within the same lane. Our objective is to know and simulate the different kind factors that have an effect on the chance of side sweep accidents. As an example, we all know that blind spots, components of the road that don’t seem to be visible to the driving force directly or through the rear-view mirrors. Similarly, the frequency produced with that a driver gives a glance to his rear-view mirrors before deciding to change the lane affects the chance of the accident. Even there is an intuition that may cause side-sweep accidents are additional possible if there’s a big distinction within the velocities of the vehicle and also the targeted lanes. There are a lot of factors that may cut back the chance of the accident: as an example, the sign of the lane change by the driving force will alert the near vehicles concerning the lane change, and that they will change their behaviors as if no accidents or commotion can happen.
Power theft detection in customer consumption using smart system
Authors: Chandrika V S , Bhavana S , Brindha P , Deepika R
Published: July 2021

Power theft is a big issue in developing countries. Stealing electricity is considered as a crime. Power theft in a country hits its GDP hard. So it is very important to prevent power theft for undisturbed supply of good quality power everywhere. This paper aims at designing and implementing a power theft detection system in customer and distribution side. Normally power theft is done by directly tapping power from the lines. This system helps in detecting the power theft and in locating the area in which power is stolen. With the help of sensors placed in respective regions power theft is identified and alert is sent to authorities. The ultimate goal is to prevent power theft and it helps in providing good quality power to legal users.
Indicator for The Water Level Using Bluetooth
Authors: Janet J , Sureshkumar S , Ahamed A Riyaz , Kaviyaraj R
Published: July 2021

The significance of water rationing has increased over the past few decades. It is hard to estimate level of water in tanks manually. When the water tank is full, the client may not realise the condition that the motor is turned ON which leads to water wastage. To tackle the issues related with the water tank, the water level pointer and regulator framework are utilized. The water level can likewise be tried utilizing a sensor, so the siphon consequently turns ON if the water goes down. The proposed system can even notify clients about the damages in the tank.
Application of information technology in safety monitoring and early warning of tailings pond
Authors: Wang Yali , Mei Guodong , Wang Sha , Li Xin
Published: July 2021

The safety monitoring and early warning of tailings pond are effective means to reduce accidents and ensure the safety of tailings ponds. With the development of information technology, network and automation technology are effectively applied in the safety monitoring and warning of tailings pond. The development of safety monitoring and early warning technology is analyzed comprehensively. Current monitoring and early warning means are summarized in this paper. A tailing pond of Jiangxi province is taken as an example, the application of safety monitoring and early warning system are introduced. The flood early warning is also elaborated. The shortages and the development trend of the safety monitoring and early warning are concluded. This study provided a reference for safety monitoring and early warning of tailings pond.
Characteristics and evolution of ore-forming fluids in the Diyanqinamu Mo deposit, Inner Mongolia: Evidence from LA-ICP-MS analysis of individual fluid inclusion
Authors: Cui Kai , Li Lamei , Yi Junjie , Li Huaibin , Wu Haoran
Published: July 2021

The Diyanqinamu Mo deposit in Dong Ujimqin Banner of Inner Mongolia is a large deposit. In this study, hydrothermal activity is divided into five stages: quartz - potassium feldspar - fluorite, quartz - muscovite, epidote - magnetite, chlorite - carbonate – pyritization, and argillization. The results show that early exsolved fluid has the characteristic of high temperature (up to 470°C), high oxygen fugacity, and Fe- and sulfide-rich in daughter minerals. LA-ICP-MS analysis of individual fluid inclusion exhibit early fluid is rich in W, Mo, Pb, Zn, Fe, Mn, As, Ag, Sn, and rare earth elements of La, Ce. The ore-forming fluids are NaCl-H2O system and contain gases CO2 and a small amount of H2 and N2. In general, the ore-forming fluids evolved from high temperature (340 °C - 470°C) with high salinity (up to 63.9 wt%NaCl equiv) to low temperature (189 °C - 202°C) with low salinity (as low as 0.18 wt% NaCl equiv). The ore-bearing fluid comes from the exsolution of the volatile-rich magma, and hydrothermal fluid boiling result from the drop of the pressure may have led to Mo precipitation. Based on the alteration, mineralization, and fluid characteristics, the Diyanqinamu Mo deposit is a porphyry deposit related to magmatic activity in Yanshanian.
Research on crop disease recognition based on uniting multi-layer features
Authors: Ni Peng , Chen Zhen , Cao Maoyong
Published: July 2021

Traditional image processing has many problems in crop disease recognition, such as complicated manual design and low efficiency. This article studies the application of deep learning algorithms in crop disease recognition. This article analyzes the characteristics of feature maps extracted from different convolutional groups of ResNet, proposes multi-layer features united ResNet(MLFU-ResNet) for crop disease classification, and introduces label smoothing to modify the loss function. The experimental results show that the network structure proposed in this article has achieved better classification performance in crop disease data sets. Compared with ResNet, the classification accuracy of the network structure proposed in this article has increased by 0.8%.
The alleviation of terrain pollution: A web-based Android App contributing to terrain recovery
Authors: Tao Make , Liu Qiwei
Published: July 2021

To present the terrain’s pollution circumstances nationwide more directly and contribute to our further recovery solutions, we design an Android app to provide convenience for both clients and regulators. For clients who are using their land and want to find solutions for their possibly polluted land, our app can visualize their land information and they can submit recovery request. And for regulators who design solutions, our database can visualize all the requests for recovery and help them decide the most urgent request. In our work, we first design the web front-end of our app on Android Studio (a platform for developing apps), which mainly consists of three parts, the register and login part1, the information altering part2 and the request submit part3. Part1 enables clients to register and login by entering their username and password, Part2 allows clients to update their land information in the database, Part3 can record each client’s request (consists of land location, request time and pollute-rate) and save it at the database in web back-end. Then, we use mysql to construct our database in the back-end. Our database contains three tables, table1 for user information (like the username, password), table2 for land information (like the land location, land moisture, land PH, land heavy metal amount), and table3 for recovery requests. Finally we use some functions in JSP (a programming language for dynamic web application) on IntelliJ IDEA (JetBrains program platform) to connect the front-end and back-end to exchange the information. After the designing work, we put our app into practice in lab condition. Most feedback are positive, but crush problems happen sometimes, which inspires us to make further optimization. Therefore, our system has a broad application prospect.
Application of Computer Visual Art in Digital Media Art
Authors: Pan Yue
Published: July 2021

This article analyzes the basic content, element meaning, application characteristics, application advantages and other contents of computer vision art. The author studies the key points of application of computer vision art in image information processing, animation information processing, film and television information processing, and game screen processing. This paper studies the trends of cultural connotation transmission, emotional development, and intelligent development. The author’s purpose is to give full play to the application value of computer vision technology and accelerate the development of digital media art.
Visual Odometry Based 3D-Reconstruction
Authors: Jiang Feng , Gu Jianjun , Zhu Shiqiang , Li Te , Zhong Xinliang
Published: July 2021

3D reconstruction is a key technology for robots to explore unknown environments. The 3D model of the scene can be used to navigate the robot or used for scene segmentation. But when the scenes become larger or the features turns to rare, the frequently-used multi-scales matching and optimization algorithm of images and point cloud cannot work well. In this paper, we make the first attempt to split the 3D-reconstruction structure into 2 parts: pose estimation with the help of RGB images and reconstruction using poses from the aforementioned part and depth images from RGB-D cameras. All of these efforts are for accelerating the speed of pose estimation and promoting the precision of the reconstructed model, the results shows the proposed algorithm in the paper can do better than other reconstruction algorithms.
A Re-presentation of the Chinese Traditional Art by the VR Technology in the Digital Age: Taking Mogao Grottoes in Dunhuang as an Example
Authors: Zhao Ming , Jin Lingling
Published: July 2021

As President Xi Jinping pointed out, “Throughout the history of world civilization, mankind has experienced the agricultural revolution, the industrial revolution and the information revolution.” With the rapid development of the information technology, we are living in a new era of digitization with the digital technology in rapid development, our way of life is being reconstructed by the Internet, and we are being more attracted by the spread of network information culture. In recent years, virtual reality technology has been deeply infiltrated into our lives, and this technology integrates the development results of the computer graphics technology, the computer simulation technology, the artificial intelligence, the sensing technology, the display technology, the network parallel processing and other technologies. The world is in accelerating digitization, so is the art world, with the emergence of the digital technologies highly associated with computers. Nowadays, the virtual reality technology has been applied in many literary and artistic fields, such as the VR immersion experience in games, the VR live game scenes, the VR films and the VR museums, and the emergence of the VR technology has given artists new artistic thinking and creative inspiration. For Chinese traditional art is an important part of the history of Chinese art development, we should vigorously protect and carry forward the traditional art, so as to avoid the disappearance of the traditional art. For this reason, we must conform to the trend of the times, change the old ideas, take advantage of the digital technology and the virtual reality VR, and keep pace with the times. The digital technology shouldn’t be excluded from representing the traditional art as a new development medium and method. Taking the Chinese traditional frescoes of Mogao Grottoes in Dunhuang as an example, this paper tries to discuss how the VR technology is used to digitally re-present the Chinese traditional art for communication.
Numerical qualification of eco-friendly gas mixtures for avalanche-mode operation of resistive plate chambers in INO-ICAL
Authors: Datta J. , Tripathy S. , Majumdar N. , Mukhopadhyay S.
Published: July 2021

Proposition and qualification of an eco-friendly gas mixture of Ar(5%):CO2(60%): N2(35%) for operating Resistive Plate Chambers of INO-ICAL experiment in avalanche mode is the soul of this work. The detector efficiency and streamer probability for the proposed mixture have been simulated using a hydrodynamic model developed by us. Efficacy of the mixture has been studied by comparing the simulated results to available experimental data for the standard gas mixture of

R134a(95.2%):i-C4H10(4.5%):SF6(0.3%) to be used in INO-ICAL,
as well as the same observables measured for other eco-friendly hydrofluoroolefin (HFO1234ze)-based potential replacements. To reduce the streamer probability of the proposed argon-based gas mixture at higher voltages, the usual practice of adding a small amount of electronegative gas SF6 has been tested. An alternative approach of lowering electronic threshold has been investigated as well for the same purpose.
Impacts of wildfire and landscape factors on organic soil properties in Arctic tussock tundra
Authors: He Jiaying , Chen Dong , Jenkins Liza , Loboda Tatiana V
Published: July 2021

Tundra ecosystems contain some of the largest stores of soil organic carbon among all biomes worldwide. Wildfire, the primary disturbance agent in Arctic tundra, is likely to impact soil properties in ways that enable carbon release and modify ecosystem functioning more broadly through impacts on organic soils, based on evidence from a recent extreme Anaktuvuk River Fire (ARF). However, comparatively little is known about the long-term impacts of typical tundra fires that are short-lived and transient. Here we quantitatively investigated how these transient tundra fires and other landscape factors affected organic soil properties, including soil organic layer (SOL) thickness, soil temperature, and soil moisture, in the tussock tundra. We examined extensive field observations collected from nearly 200 plots across a wide range of fire-impacted tundra regions in AK within the scope of NASA’s Arctic Boreal Vulnerability Experiment. We found an overall shallower SOL in our field regions (∼15 cm on average) compared to areas with no known fire record or the ARF (∼20 cm or thicker), suggesting that estimations based on evidence from the extreme ARF event could result in gross overestimation of soil organic carbon (SOC) stock and fire impacts across the tundra. Typical tundra fires could be too short-lived to result in substantial SOL consumption and yield less robust results of SOL and carbon storage. Yet, repeated fires may amount to a larger amount of SOC loss than one single severe burning. As expected, our study showed that wildfire could affect soil moisture and temperature in the tussock tundra over decades after the fire, with drier and warmer soils found to be associated with more frequent and severe burnings. Soil temperature was also associated with vegetation cover and air temperature.
Fault Detection and Protection of UHV Transmission Line Based on Negative Sequence Impedance Angle
Authors: Pan Mingjiu , Gu Chenlin , Yu Zhifang , Shan Jun , Liu Bo , Zheng Di
Published: July 2021

This paper presents a pilot protection method for UHV transmission lines based on negative sequence impedance angle, which can reflect the total fault type. In this method, the memory function of microprocessor is used to extract window data of one cycle for delay processing. Meanwhile, the variable is introduced to make artificial asymmetric fault and produce negative sequence component, which makes the negative sequence admittance angle discriminator applicable to all types of short circuit faults. Based on PSCAD / EMTDC, a 1000 kV transmission line and its fault model are built. At the same time, a large number of line simulation are carried out. It is verified that the method can reflect different fault conditions and basically meet the requirements of UHV line relay protection.
Visual analysis of fire safety research from January 2015 to September 2020
Authors: Li Ru , Huang Hui , Zhang Jia , Zhang Mengxin
Published: July 2021

In this paper, bibliometrics and visual analysis are used to analyze the fire safety related literature with the theme of “fire protection” and “safety” by CiteSpace software. The quality of fire safety management in China could be improved through the understanding of fire safety prominent risk and fire safety research hotspots. After searching, screening and exporting 2900 fire safety related literatures from China National Knowledge Infrastructure (CNKI), CiteSpace software was used to analyze the data exported from CNKI, and four kinds of visual maps including keywords, emergent words, authors and institutions were drawn. The atlas intuitively shows that the research hotspots from January 2015 to September 2020 are mainly focused on fire safety, countermeasures, high-rise buildings, fire hazards and so on. Many excellent authoritative authors have published articles, and different institutions have cooperated with each other, but the overall contact is less. Based on the overall situation, the investigation and treatment of fire hazards still need to be carried out in depth, and the fire safety management system needs to be further implemented.
Prediction Studies of River Water Quality Based on Moving Average Weighted Markov Model -- A Case Study of Shiwei Port, Jingjiang City
Authors: Jiao Kuo , Cheng Liang , Tao Ya , Chen Peng , Chen Wei
Published: July 2021

It is of great significance to predict the change trend of river water quality and comprehensively prevent and control river pollution for the protection of water quality of the Yangtze River and the implementation of "to step up conservation of the Yangtze River and stop its over development". Shiwei Port of Jingjiang City is located in the middle of Jingjiang City. It runs from north to south, connects the Jingtai Boundary River in the north, and enters the Yangtze River in the south. It is a first-class tributary of the Yangtze River. Based on the Moving Average Weighted Markov Model, this paper conducts an applied research on the water quality of Shiwei Port flowing into the Yangtze River. It is found that with the increase of the moving step, the accuracy of the moving prediction increases gradually, and the highest accuracy of the moving prediction is 24.9% compared with the original data, which shows that the moving average is necessary for the weighted Markov water quality prediction. Finally, the problems of the prediction model are analyzed and discussed, and the corresponding suggestions for the water quality and environmental management of Jingjiang City where Shiwei port is located are put forward, which can provide reference for the water quality management of other cities on both sides of the Yangtze River.
Identification of Indicator Diagram Type in the Oil Well by BP Neural Network
Authors: Jiang Jianxun , Li Xiaofan
Published: July 2021

Wax sticking in oil wells has always been a difficult problem in oil exploitation. Wax sticking in oil wells exists not only in the exploitation stage, but also in every link of oil production. Accurate identification of indicator diagram type is very important to prevent oil well wax sticking. In this paper, a BP neural network method is proposed to identify indicator diagram types. This model makes full use of indicator diagram data, simplifies complex mechanism research, and has wider practicability. Through the calculation of an example, the BP neural network established in this paper can accurately identify the type of indicator diagram.
Research on pressure pulsation of piling hammer hydraulic system based on AMESim
Authors: Yu Jin , Wang Zhao , Zhang Huasen
Published: July 2021

The mathematical model of pressure pulsation of piling hammer hydraulic system is established, and the results of the pressure pulsation of piling hammer hydraulic system are analyzed by AMESim. The results show that only the accumulator with the optimal pressure and capacity can effectively absorb the pressure pulsation and ensure the efficiency of the piling hammer hydraulic system. Through mathematical model and AMESim simulation analysis, it provides a certain theoretical research basis for the study of pressure pulsation in hydraulic system of piling hammer.
Index decomposition analysis and optimization design of temperature inversion accuracy based on spaceborne high-resolution infrared camera
Authors: Xu Chi , Mo Fan , He Tao , Yin Yanhe
Published: July 2021

Spaceborne high-resolution infrared cameras can be widely used in environmental protection, disaster prevention and mitigation and other fields. Based on the demand for high-accuracy inversion of surface temperature in related fields, the detection accuracy of the camera is the focus of attention. Taking this as the starting point, this article systematically analyzes the composition of errors that affect the system’s comprehensive indicators, sorts out the relationship and interaction principle of each error component, and establishes an error model. Through reasonable decomposition and allocation of the system’s comprehensive indicators, the detection accuracy of the spaceborne high temperature infrared camera meets the mission requirements.
Research on Panels Fabricated by Fibers Derived from Kenaf Bast after Environmental Restoration
Authors: Dong Wang , Hu Zhixin , Hu Xiao , Yang Pang , Yong Wang
Published: July 2021

In this paper, Kenaf bast fiber were the research objective. The fiber morphology was studied, as well as the compatibility between fibers and cemented. At last. The manufacture technology for fiber reinforced cement-based panel was studied. The results are as follows: The average length of Kenaf bast fiber, which determines Kenaf bast fiber as long fibers. Effects of the influences of fiber to cement (w/c), water to cement (m/c) were significant. When the conditions of the process were following that the ratio of wood-cement ratio was 0.22, water-cement ratio of 0.42, the Kenaf bast fiber-cement panel met the requirement of excellence (MOR = 14 MPa, MOE = 3900 MPa, TS = 1.26%) specified in GB/T 24312-2009.
Study on Energy Consumption Characteristics of Sewage Pipe under Different Conditions
Authors: Jiang Chao , Qing Leng
Published: July 2021

It can optimize the design of sewage pipe network system and select the design conditions of pipe network to obtain the best hydraulic characteristics and the most economical design plan by studying the hydraulic characteristics of sewage pipe network under different conditions. In this paper, k-s turbulence model is used to calculate the change of energy consumption characteristics in sewage pipe network under different working conditions. The results show that the pipe diameter is too small and the pressure on the pipe wall increases, which is not conducive to flood discharge. If the inlet velocity is too small, the negative slope of the pipe would lead to the reduction of the overall flow rate, which is easy to cause siltation of the sewage pipe network. Proper pipe diameter, inlet velocity and reasonable slope can help the pipe drain water. Increasing the diameter of the main pipe can improve the stability of the fluid, which is more conducive to sewage discharge.
Pepper Disease Detection Model Based on Convolutional Neural Network and Transfer Learning
Authors: Zeng Yuting , Zhao Yanbin , Yu YingHao , Tang Yuan , Tang Youwan
Published: July 2021

We used a deep learning approach based on convolutional neural networks to perform plant disease detection and diagnosis using leaves images of healthy and diseased plants. The model was trained using images from a data set of 2,478 chilies, consisting of 1,478 healthy leaves (19% from the field environment) and 1,000 infected leaves (10% from the field environment). The detection model is trained based on transfer learning, and the best performance reaches 99.55% accuracy when identifying diseased or healthy plants. The model can be applied to the early warning of pepper diseases, and the method can be further extended to support the identification of crop diseases under actual cultivation conditions.
Gelatinization and Rheological Properties of Blend of Defatted Rice Bran and Broken Rice
Authors: Yang Xiaoqing , Shi Haige , Mi Xue , Wang Lili
Published: July 2021

Defatted rice bran (DRB) and broken rice (BR) are by-products with large output in rice processing, but without being utilized properly. In order to strengthen the utilization of rice bran and broken rice, the pasting and rheological properties of the binary mixture of defatted rice bran-broken rice flour closely related to the adjustment of equipment and process parameters were studied. The results show that the peak viscosity, valley viscosity and final viscosity reduced during gelatinization, and the decrease increased first and then decreased with the rise of the proportion of defatted rice bran in the mixed system. Moreover, the addition of defatted rice bran may reduce the gelatinization temperature, attenuation value and setback value, reduce the difficulty of gelatinization and improve the stability of the mixed system. The conclusion revealed the binary mixture of defatted rice bran and broken rice flour belongs to pseudoplastic fluid, and the rheological properties are in accordance with the power law equation. The apparent viscosity of the binary mixture of defatted rice bran and broken rice flour is significantly affected by different mixing ratio, particle size and gelatinization temperature (P < 0.05).