bluuebunny/crossref_metadata_2025 huggingface dataset:
Bluetooth Based Home Automation and Security System
Authors: Anitha G , Sathya M , Suganeswar S , Vignesh Raja G
Published: May 2021

In this paper, we have made a home robotization and security framework that will be extremely useful for the old matured individuals and truly tested individuals. For security reasons, we have also added a fingerprint scanner app to get access for the automation system. The possibility of this venture is to control home apparatuses by evading the threats of electric stun and make an agreeable life. And one of the prime ideas of this project is to eradicate the idea of ‘There is nothing without internet’ by replacing Internet with Bluetooth as the transmission medium.
A Safety Measuring Tool to Maintain Social Distancing On COVID-19 Using Deep Learning Approach
Authors: Pooranam N , Sushma Priya P N , Sruthi S , Sri Dhanya K
Published: May 2021

Due to this recent wave of the Deadly corona virus disease, which has spread widely all over the world, so physical or Social distancing has become a mandatory precaution to avoid close contact. As of January 2021, the count of affected cases is 10.8 million and recovered cases are 10.5 million and the death rate is 155 thousand. In conformity, we have proposed a system that elucidates the usage of Python, computer vision, and deep learning to monitor whether people are maintaining Social distance at public areas in roads, pathways, work places and, even in hospitals. For the purpose of monitoring social distances among people, we have developed a social distancing detection tool that can keep track of safe distance and determine the distance between people in order to reduce the impact of the corona virus pandemic by analyzing real-time video Streaming, such as CCTV or Camera which can be added with the security camera system at hospitals, workplaces, markets, Jewelers shop etc. As an output, the detection tool will throw A Voice alert or a Notification, so that people would be remained to maintain a social distance.
Optimization of Fuzzy Model for Signed Distance Method
Authors: Ranganayaki S , Kasthuri R , Vasanthi P
Published: May 2021

The research involves the estimation of minimum total cost of an inventory under both stable and imprecise environment. Demand related to unit cost is assumed here. Cost parameters and decision variables are uncertain in nature that are defuzzified by signed distance method. The KKT conditions are applied to optimize the objective function.. Numerical example is contributed to describe the comparison between crisp and fuzzy solutions.
A Comparative Study on minimum skew Clock tree distribution algorithms for high-speed Digital Integrated Circuits
Authors: Mathew Dominic , Sophia S , Pasupuleti Kiran Kumar
Published: May 2021

In this paper an extensive analysis on clock tree synthesis algorithms are carried out with conventional cts, Mesh based cts, Meshless Multi-source and flexible H-tree multisource cts with mesh. The algorithms are analysed with industry standard placement benchmarks. Latency, clock power, wirelength, number of buffers, and clock skew are observed. The clock distribution algorithm which provides a single digit least skew is picked, the pros and cons of that algorithm is elaborately discussed.
Interactive Internet of Things for real time crime reporting
Authors: Srividhya R , Nair Suma , Aishwariya Lakshimi N , Kushwaha Rajnikant , Bhattacharjee Sayantan
Published: May 2021

The purpose of the paper works as an emergency alert system for PROB detection using commercially electronic devices available commonly in the market for both detect and alert authorities’ functionality. PROB is a very useful and powerful device which is specially designed for women safety. It is designed in such a way that whenever somebody is in trouble they don’t have to sit and find contacts or find ways to send SMS, or message the near ones because with the single shake of their mobile device above the threshold value will automatically turn on our design application that get current location and send alert message to predefined two contacts. Continuously their location is monitored in case any changes made in previous location once again send location change information will be sent to predefined contacts. That process is made until manually stops the application.
Automatic teller machine abnormality detector using machine to machine technology
Authors: Prabaakaran K , Senthil Kumar R , Katta Pradeep , Abdul Riyas O S , Kavikumar K , Monish Kumar V
Published: May 2021

The Automatic Teller Machine (ATM) anomaly detection is an area of research aimed at preventing physical and electronic theft from ATMs as well as securing their installations. This is achieved by using Machine to Machine (M2M) technology. M2M is a communication technology. It allows for real-time tracking without the need for human interference. Using an anti-skimming defence device, we can detect fraud invisibly. An individual wearing a helmet or mask can be recognized using recognition technology, and anomalies can be identified using vibration and flame sensors. This application is used in ATM centres to improve security.
Intelligent Prediction and Face Recognition sensors for Next Generation Machines
Authors: Gowdham R , Harish G , Madavan C A Brijesh
Published: May 2021

A new generation of ATM machines has been developed. Face recognition based on the system proposed. Meanwhile, the recognition process plays an important role with a high-grade image with many details. Face image is used in this paper for authentication. At first, a specific person’s face image is differentiated with the database portrayal. Then outcome of the comparison is dispatched by serial communication to control block. If the individual is unauthorized, then the communication will be sent to the individual. The controlling part uses a micro-controller.
Privacy Preserving Verification Scheme for Cloud Platform Using DML
Authors: Sujaritha  , Akshara D , Ashfak Ahamed A , Chandhini shri V S
Published: May 2021

Deduplication technology is familiar in cloud-based services. It is used to reduce the space and the bandwidth requirements as a result, it reduces the redundancy and stores only the original copy. Deduplication finds its usage when a group of users stores the same data to the cloud storage service, but by using this method there is an issue regarding the ownership and security, and before getting into this process many users first encrypt their data and then share it with the cloud storage so that there is minimum or no privacy issue found. Recently so many models were released to solve this problem. That was actually done by sharing the same encrypted data for the same data which is shared by each owner. But by following this described method many flaws were found. We present a novel server-side deduplication model for all encrypted data in this paper. By following this model there is a proper control over the delegated data even after the control changes from person to person. So, Random convergent encryption and stable ownership key distribution are used. Through this method, the data theft can be prevented not only to the reward user but also to the old user who previously owned that data.
Big data analytics and Mining for effective Visualization and trends forecasting of Crime data
Authors: Dhanasri V , Dheekshitha S , Soundarya M
Published: May 2021

Big Data Analytics (BDA) is an excellent procedure for investigating assorted models. In this paper, we use BDA to crook records and exploring the records exam has directed for illustration. A magnificent records mining is done profound getting to know techniques are utilized. Following measurable research and illustration, a few exciting realities and examples are observed from the records of San Francisco, Chicago and Philadelphia. The prescient display that the Prophet version and Keras stateful LSTM carry out a manner, but is not higher than neural company models, where an appropriate length of the practice records is observed to be 3 years. These promising consequences will help for police divisions and regulation requirement institutions for extra recognizing of crimes and supply with a bit more understanding with a view to empower them to observe exercises, foresee the opportunity of occurrences, safely ship the property and enhance the dynamic cycle. Through reading large records implementation cases, we sought to recognize how large records analytics skills rework organizational practices, thereby producing ability benefits. In addition to conceptually defining 4 large records analytics skills, the version gives a strategic view of large records
Intelligent Monitoring and Forecasting Using Machine Learning Techniques
Authors: Sathyabama S , Stemina S C , SumithraDevi T , Yasini N
Published: May 2021

Stock market prediction is a crucial task and a prominent research area in the financial domain as investing in the stock market involves greater risk. Various events may affect public sentiments and emotions differently, which may affect the trend of stock market prices. Because of dependency on numerous factors, the stock prices are dynamic, and not static, highly noisy and nonlinear time series data. Due to its great learning ability, machine learning has been applied to this research area. The enormous stock market volatility emphasizes the need to effectively assess the role of external factors such as news in stock prediction. Machine learning algorithms have made a great impact in predicting stocks accurately. Methods based on learning for stock price prediction are found to be popular and a lot of strategies have been used to improve the performance of the learning-based predictors. However, performing successful predictions in the stock market is still a challenge. In this paper, we use machine learning algorithms and predict the stock market trade to examine if it increases or decreases. Compared with existing learning-based methods, the effectiveness of this new enhanced learning-based method is demonstrated by using a Naïve Bayes classifier which is found to be consistent and gives the maximum efficiency.
Fire Detection System Using Machine Learning
Authors: Arul A , Hari Prakaash R S , Gokul Raja R , Nandhalal V , Sathish Kumar N
Published: May 2021

The modern age of electronics has seen a lot of development. But the development of electrical and electronic devices has led to a growing rate of fire accidents mainly due to the carelessness. The main problem in the fire accidents is that they are not being able to detect the fire as early as possible. By the time we detect the fire it becomes difficult to safely evacuate all or even reduce the damage caused. Our aim is to detect the fire as early as possible. The main objective is to detect the fire as early as possible. This can be attained by capturing the fire and motions of the spreading fire by using CCTV system and processing it to produce an alert. The processed image is compared with the pre fed image using ML and checked for fire accident. If the processed image matches the pre fed image then an alert message along with a buzzer is enabled. In simple word, this fire monitoring system is an addition to the existing CCTV cameras to detect the fire effectively.
Design and Fabrication of Printed Circuit Board for IoT Applications
Authors: Ram Prasanna K , Seetharaman R , Mani Lakshmanan H , Karthik G , Anandan K
Published: May 2021

Printed circuit boards are used for various product manufacturing and assisting purposes. This paper deals with a multifaceted trainer board for integrating various modules for Internet of Things (IoT) applications. As IoT plays a major role in the upcoming technological growth, the next generation of students need to learn about the hardware and software involved in a more effective manner. Also hardware is vital for hands-on training. To guide the students and aspirants to apply various ideas onto one board requires a perfect trainer board. Moreover, this trainer board should be well flexible to handle a vast variety of modules. Arduino Mega, is one example, where programming and interfacing of modules are easy and well-suited to develop IoT applications. This novel trainer board is designed for interfacing with the Arduino Mega, HC-05 (Bluetooth module) and Node MCU (Wi-Fi module) that are embedded on the board. The main purpose is to interface various Analog/Digital/PWM pins with various devices. Each Digital or analog pins are connected with 3-port or 4-port female headers to enable various modules to be linked with the board. Also, each 3 or 4-port header pins are connected with power supply and ground by default and there are interlinks between Analog/digital I/O. The board and external modules can be powered with 5V, 9V and 12V which can be selected based on the application.
What determines the effectiveness of national protected area networks?
Authors: Shah Payal , Baylis Kathy , Busch Jonah , Engelmann Jens
Published: May 2021

More than 15% of global terrestrial area is under some form of protection and there is a growing impetus to increase this coverage to 30% by 2030. But not all protection is effective and the reasons some countries’ protected areas (PAs) are more effective than others’ are poorly understood. We evaluate the effectiveness of national PA networks established between 2000 and 2012 globally in avoiding forest loss, taking into account underlying deforestation threats using a combination of matching methods and cross-sectional regressions. We then assess which demographic, agricultural, economic, and governance factors are most strongly associated with national PA effectiveness using machine learning methods. We estimate that national PAs established between 2000 and 2012 reduced deforestation in those areas by 72%, avoiding 86 062 km2 of forest loss. The effectiveness of national PAs varied by strictness of protection based on International Union for Conservation of Nature category. Strictly PAs reduced forest loss by 81% compared to what would have occurred without protection, while less strictly PAs reduced forest loss by 67%. Thus, the 26% of new PAs that were strictly protected contributed 39% of the total forest loss avoided within PAs between 2000 and 2012. If every country’s PAs were as effective as the country with the most effective PAs within the same region, they would have increased the area of deforestation avoided by 38%, saving a further 119 082 km2 of forest. Part of the variation in PA effectiveness across countries is explained by the placement of PA in areas facing higher deforestation threat. Countries with lower agricultural activity, higher economic growth and better governance are most strongly associated with greater country-level PA effectiveness.
Multiple cropping alone does not improve year-round food security among smallholders in rural India
Authors: Mondal Pinki , DeFries Ruth , Clark Jessica , Flowerhill Nicole , Arif Md. , Harou Aurelie , Downs Shauna , Fanzo Jessica
Published: May 2021

Achieving and maintaining food and nutrition security is an important Sustainable Development Goal, especially in countries with largely vulnerable population with high occurrence of hunger and malnutrition. By studying a small-scale agricultural system in India, we aim to understand the current state of dietary diversity and food insecurity among the farmer communities. The study landscape has witnessed a steady rise in multiple cropping (i.e. harvesting more than once a year) along with irrigation over the last two decades. Whether this multiple cropping can be expected to improve year-round food security is not well understood. We specifically examine if planting multiple food crops within a year is associated with dietary diversity and food security. We collected information on demographic and economic variables, farming activities and livelihood choices, from 200 unique households for three seasons (monsoon/rainy, winter, summer) during 2016–2018 (n = 600). Based on both a 24 h and a 30 days recall, we calculated several indicators, including the household dietary diversity score, the minimum dietary diversity for women, and household food insecurity access scale. At least 43% of the sample population experiences moderate to severe food insecurity in all seasons. Cereals (mainly rice) remain the most important food item irrespective of the season, with negligible consumption of other nutrient-rich food such as tubers, fish, eggs, and meats. Around 81% of women in all seasons do not consume a minimally diverse diet. Multiple cropping is associated with higher food security only during monsoon, while selling monsoon crops is associated with winter food security. Households practicing multiple cropping consume more pulses (a plant-based protein source) compared to single-cropping or non-farming households (p < 0.05). We find that multiple cropping cannot be used as a cure-all strategy. Rather a combination of income and nutrition strategies, including more diverse home garden, diverse income portfolio, and access to clean cooking fuel, is required to achieve year-round dietary diversity or food security.
News selection and framing: the media as a stakeholder in human–carnivore coexistence
Authors: Arbieu U , Chapron G , Astaras C , Bunnefeld N , Harkins S , Iliopoulos Y , Mehring M , Reinhardt I , Mueller T
Published: May 2021

The media widely covers large carnivores and their impacts on human livelihood and plays an important role in their conservation. Yet, we know little about how species identity affects news selection, framing, accuracy and information flow. We investigated the online coverage of two cases of attacks or alleged attacks on humans alternatingly attributed to wolves and dogs in Greece and Germany. The period during which wolves were considered the primary suspects for the attacks was covered by up to two times more articles than when dogs were suspected. Wolves were presented as more likely suspects for the attacks than dogs, and wolf articles contained more inaccuracies measured as title-text mismatches. Press agencies played a significant role in the selection and dissemination of wolf news. We suggest that conservation scientists, journalists and policy makers work together to ensure an accurate representation in the media of human–carnivore coexistence and its challenges.
Statistical seasonal forecasting of tropical cyclones over the western North Pacific
Authors: Chan Kelvin T F , Dong Zhenyuan , Zheng Minglin
Published: May 2021

Forecasting tropical cyclone (TC) activities has been a topic of great interest and research. Many studies and existing seasonal forecasting models have examined and predicted the number of TCs (including geneses and landfalls) mainly based on the environmental factors in the peak TC season. However, these predictions can be time-consuming, computationally expensive and uncertain, depending on the efficiency and predictability of the dynamical models. Therefore, here we propose an effective statistical seasonal forecasting model, namely the Sun Yat-sen University (SYSU) Model, for predicting the number of TCs (intensity at tropical storm or above) over the western North Pacific based on the environmental factors in the preseason. The nine categories comprising 103 candidate predictors in 1980–2015 (36 years) are systematically investigated. The best subset selection regression shows that the sea surface temperatures at the tropical North Atlantic and eastern North Pacific in April, the 500 hPa geopotential height difference between April and January at the open ocean southwest of Australia and the 700 hPa geopotential height at the North Pacific in April are the most significant predictors. The correlation coefficient between the modeled results and observations reaches 0.89. The model is successfully validated by leave-one-out, nine-fold cross-validations, and later 5 year (2016–2020) observations. The prediction of the SYSU Model exhibits a 95% hit rate in 1980–2020 (39 out of 41), suggesting an operational potential in the seasonal forecasting of TCs over the western North Pacific.
Development of Towed Radio Buoy for AUV
Authors: Yu Bykanova A , Kostenko V V , Michailov D N
Published: May 2021

One way to extend the functionality of autonomous underwater vehicle is to use a surface buoy-repeater that provides a high-speed data exchange channel between the operator station and AUV in real time. Also, the data of the receiver of the satellite navigation system of the buoy make it possible to correct errors accumulated by the on-board navigation system of the device without using hydroacoustic navigation devices. The report presents the design stages of the towed radio buoy, its composition and functional diagram, structural appearance and some results of field tests.
Effect of New Feed Additive on Growth Performance and Immunoglobulin of Broilers
Authors: Kareem K. Y. , Loh T. Ch. , Foo H. L.
Published: May 2021

Recently postbiotics and inulin combinations used as a new feed additives. Within current study, we examined the effect of new feed additives on growth performance and immunoglobulin of broiler. 216 one day-old male chicks were distributed into six treatments, six replicates/six birds in cage system, negative control (NC) without additive, positive control (PC) basal diet + antibiotic, Basal diet + 0.15% postbiotic + 1.0% inulin (T1), Basal diet + 0.3% postbiotic + 1.0% inulin (T2), Basal diet + 0.45% postbiotic + 1.0% inulin (T3), Basal diet + 0.6% postbiotic + 1.0% inulin (T4) and nourished for six weeks. Results demonstrated that birds that fed T3 and T1 had greater (p<0.05) body weight in the starter and finisher phase than negative control birds. The outcomes from the current study exhibited that the immune response increased especially at the starter phase for both types of immunoglobulin. We conclude that combinations of postbiotic and inulin are potential substitutes for antibiotic in poultry industry as growth promoters.
Study on Fracturing Parameters Optimization of Horizontal Wells in Low Permeability Layers
Authors: Sun Meifeng
Published: May 2021

Block A has poor and thin oil layers, and it is developed with horizontal wells to achieve Higher recovery. The horizonal initial production capacity 3-5 times the surrounding straight well initial production. However. As the development time goes on, some horizontal wells produce more water. This is mainly because of their well types. The horizontal wells have special layers and those layers are produced differently. In order to improve the production of different layers, we can use hydraulic fracturing to improve the production of horizontal wells. This paper uses numerical simulation technology to establish geological model of the block, to optimize the fracturing crack spacing, length, number of bars and other parameters, so we can maximize the effect of measures, while providing guidance for similar oil field level fracturing measures.
Quantitative identification of interlayer in delta phase oilfield
Authors: Liu Xinyu , Cong Lin , Ma Shizhong , Zheng Bin
Published: May 2021

It is very difficult to accurately tap the potential of remaining oil in delta phase oilfield, and the analysis of geological origin of remaining oil is particularly critical. This paper analyzes and studies the types and genesis of interbeds and quantitative identification of interbeds in delta phase oilfield. The data analysis shows that: on the basis of the existing data, the core qualitative interlayer identification is carried out first, and the types and causes of the interlayer are studied. Then, the identification standard of interlayer is established to identify logging interlayer. If the coincidence rate is low, it is necessary to modify the identification standard, reestablish the identification standard of rock electrical corresponding interlayer, and carry out logging interlayer identification again. Finally, we must carry out manual inspection, interpretation inspection and rationality analysis.
Research on horizontal directional staged fracturing technology for roof of surface wells
Authors: Ge Chungui , Sun Dongling , Wang Xinkun , Yuan Benqing , Zhang Yongjiang , Cao Jianjun
Published: May 2021

In order to reduce the outburst risk of soft broken high gas coal seam, based on the gas geological conditions of Luling Mine field, the technology of segmented roof fracturing in water level section of U-shaped well in broken soft coal seam was tested. The safe drilling in the roof rock of horizontal section of coal seam was realized by directional drilling, and the trajectory of horizontal section was controlled in the roof rock of target coal seam 10000m3 / d, the pumping effect is good.
Experimental Study on Subgrade Performance of Collapsible Loess Mixed with Concrete Gravel
Authors: Zhen Yao , Liu Bailai
Published: May 2021

Collapsible loess-like and concrete breccia is a rare special soil type in China, which is widely distributed in Baoji area. The paper preliminarily studied its collapsibility mechanism and engineering properties. The experimental results show that mixing 30% concrete crushed gravel has the best compressive effect and the best bearing ratio in California. Scanning by electron microscope found that after collapsible loess was mixed with concrete gravel, as the proportion of concrete increased, its internal structural stability increased. Concrete gravel recycling projects in subgrade engineering in collapsible loess areas have a certain feasibility, and its economic value is great. In future studies, it can be studied for higher proportions of concrete gravel.
Calibration Method and Measurement Uncertainty Evaluation for the Zero Error of Level Rules
Authors: Yang Yi , Wang Tao , Dai Liwei
Published: May 2021

A calibration method for the zero error of level rules was proposed. According to the calibration method, the evaluation model of measurement uncertainty was established, and the sources of uncertainty were analyzed. Combined with the measurement example, the evaluation process of the measurement uncertainty for the zero error of level rules was described.
Failure Analysis of the Aircraft Accessories Graphite Seal Ring
Authors: Wang Zhanbin , Fan Jinjuan , Zhang Bing
Published: May 2021

After 1300 hours of operation, the aircraft accessories graphite seal ring parts were overhauled with the aircraft engine. Then the seal assemblies were reinstalled on the engine. The graphite seal ring fractured 1 hour of used. The failure cause of the graphite seal ring was analyzed by appearance inspection, structure relationship analysis of the seal parts, surface and fracture observation, physical performance testing and composition examination. The analysis results show that the physical performance of the failed graphite seal ring met the requirement, and no abnormality was observed in the structural composition. But in the long-term used process, there was mutual wear between the fixing groove of the graphite seal ring and the limiting bracket of the metal static ring seat. As a result, the operating space of graphite seal ring was increased. The overall coordination stability decreases after the secondary assembly. Therefore, when the engine starts, the fluctuating friction occurs between the graphite seal ring and the friction pair, and the lubrication condition was poor, resulting in the graphite ring carrying capacity was too large, and then led to the graphite ring fracture in a short time after maintenance. This leads to fracture of graphite ring in a short time after overhaul. In order to prevent the failure from happening again, this paper gives the corresponding improvement suggestions.
The main controlling factors of coal seam injection heat enhanced extraction technology
Authors: Jia Quanmin
Published: May 2021

In order to improve the gas extraction rate in low permeability coal seam, the coal injection thermal theory was proposed. Coal seam heat injection technology is still at the stage of theoretical and laboratory research. Thermal coal injection process is a very complex multi-physics coupling problem, involving factors such as temperature, humidity, pressure and other factors on the effect of heat injection. According to the research results of seepage mechanics, heat transfer, rock mechanics and predecessors, the main controlling factors of the coal seam heat injection process are analyzed in terms of gas adsorption, desorption and coal seam permeability, and a multi-field coupling model for coal seam heat injection is analyzed and the solution of the above provides research ideas.
Research on similar test device of deep roadway impact
Authors: Yao Zhuangzhuang
Published: May 2021

With the continuous increase of coal mining depth, the impact of ground pressure disaster is showing more and more serious development trend, which poses a great threat to the safety production of coal mine and the life safety of miners. The design and construction of similar test bench for deep tunnel excavation has become one of the difficult problems of scholars at home and abroad When the impact of high altitude falling hammer on the tunnel is tested, the drop hammer hits the pressure column and will be bounced, causing two shocks and affecting the experimental results. Based on the disaster mechanism of roadway rock burst, and simulating the damage caused by the immediate release of rock burst, we designed a test system that can fall smoothly when the falling hammer falls, and it will be held when the falling hammer starts to fall again. The device prevents the second impact of the falling hammer in the impact test of the roadway, and realizes the dynamic loading of the roadway.
Research on increasing oil production through fracturing
Authors: Wei Zuo , Jian Gou , Bo Liu , Wenfeng Huang , Haitao Li , Feng Li , Ling Dong
Published: May 2021

The main measures to increase the production of oil field are to expand the formation channels or open up new channels. The increase of production of oil field plays a very important role in the process of oil field exploitation in our country. It is one of the fracturing methods that people often use, which can effectively improve the exploitation efficiency of oil field and guarantee the exploitation quality of oil field With the development and progress of oil well fracturing technology, we should continue to innovate and improve, promote the continuous increase of oil well production in China, and promote the stable development of oil fields in China.
Analysis and Countermeasures of the Causes of Low-Yield Wells in Hailaer Oilfield
Authors: Liu Xin
Published: May 2021

Due to complex geological conditions, fault development and great reservoir changes, some inefficient wells appear in Hailaer oilfield after it is put into development. In addition, with the deepening of oilfield development, water cut in some well areas rises abruptly. Through continuous practice and exploration, geological understanding and continuous deepening of development law, no matter from improving oilfield development effect or improving oilfield development economic benefit it is necessary to study systematically. Therefore, through the systematic analysis of the causes of low production wells in Hailaer oilfield, this paper summarizes the treatment methods and effects in the past years, and forms a set of mature treatment methods.
Structural Life Analysis of Roller-compacted Concrete Asphalt Pavement
Authors: Liu Feng , Wu Chuanhai , Li Jun , Xu Xinquan
Published: May 2021

Based on the long-life test road of Yunluo expressway in Guangdong province, firstly, based on the theory of small disturbance elastic thin plate and the design code of the highway cement concrete pavement, the life analysis of the roller-compacted concrete pavement structure of the Yunluo long-life test road is carried out. The results show that the pavement structure can achieve a 53.2 years long-life. Secondly, in order to verify the reliability of the theoretical analysis results, the strain sensors and the temperature sensors were embedded in different layers of the test road. After years of continuous data collection and based on the constitutive model of the roller-compacted concrete material, the theoretical analysis of the results concluded that the pavement structure can achieve at least 45 years life. The results of theoretical and practical analysis show that the new type asphalt pavement structure on the roller-compacted concrete base can be used as a typical long-life asphalt pavement structure under high temperature, rainy and heavy load conditions in Guangdong province.
Research on large-scale clean water mesh fracturing technology
Authors: Liu Yuhang
Published: May 2021

hailaer oilfield belongs to low permeability fault-block oilfield, some blocks effectively injection Wells after fracturing is still hard, lead to low formation pressure, the late refracturing effect is poor, single and average increased under 400 t oil and to explore effective fracturing technology in the low permeability elastic exploration area, hailaer oilfield since 2011, in fissured budate reservoir, according to the characteristics of the reservoir Large-scale clear water fracture network fracturing tests have been carried out, and better stimulation effect has been achieved. The tests have guiding significance for the effective development of low efficiency and difficult to recover reservoirs in Hailaer oilfield.
Research on the Formation Mechanism of Seepage Channels in Broken Rock Mass under the effects of Particle Migration
Authors: Ma Xiaotong , Tang Lizhong
Published: May 2021

Seepage within broken rock mass widely exists in geotechnical engineerings, such as railways, slopes, dam foundations and mining. Seepage is often accompanied by particle migration, which usually cause structural instability and water inrush disasters. In order to study the formation mechanism of seepage channels in the brocken rock mass under the effects of particle migration, a series of seepage tests were designed on broken red sandstone. The effects of pore pressure and particle size distribution (PSD) on particle migration and porosity evolution were studied. The main conclusions are as follows: 1) By observing the particles collected during the seepage process, particles with size range of 0-2 mm, 2-5 mm and 5-8 mm appear in sequence, which means that with the formation of seepage channels, large size of rock particles can pass through the broken rock mass. 2) The cumulative mass of migrating particle increases with the increase of pore pressure and decrease of PSD; with the increasing duration of migration process, the pore pressure and PSD decrease. 3) The peak value of porosity increases with the increase of pore pressure and decrease of PSD. According to above results, the seepage channels of the samples with smaller PSD and larger pore pressure are wider. Besides, the formation speed of seepage channels is larger in sample under higher pore perssure. These can explain the higher risk of geological disasters (i.e., water inrush and structural instability) in broken rock mass within higher pore pressure and smaller PSD.
Simulation Study on the Effect of In-cylinder Water Injection Mass on Diesel Engine Combustion and Emissions
Authors: Wang Shaoheng , Yao Baofeng , Yu Yusong , Niu Kai , Yuan Meng
Published: May 2021

Based on Caterpillar 3401 diesel engine, a complete three-dimensional model of the combustion chamber was established in CONVERGE to study the effect of in-cylinder water injection on combustion characteristics and emissions within the water injection mass rang from 5mg to 100mg. With the water mass increase, the pressure, power and temperature in the cylinder increase first and decrease later. The changes of CA5 and CA10 of the heat release are not obvious. CA50 of the heat release advances first and delays later. The combustion duration shortens first and increases later. NOx emission is increases as the water injction mass increases from 5mg to 40mg, but it is decease when the water injction mass increases from 40mg to 100mg. And when the mass of water is 100mg, it has the best suppression effect on NOx. Otherwise, the water injection has the best suppression effect on Soot when the water mass is 60mg.
Analysis and research of several indoor air purification methods
Authors: Wan Zhiqiang , Zhang Qingqing , Xu Liang
Published: May 2021

Air pollutants refer to foreign substances that enter the near ground or the near ground environment in the form of gas. Generally, they are substances that are discharged into the atmospheric environment during human activities or natural processes and have harmful effects on human beings or the environment. Usually there are solid pollutants and gaseous pollutants two categories, solid pollutants in the common dust, suspended particles, etc. (usually called particulate matter); Among the common gaseous pollutants are volatile organic compounds, nitrogen oxides, benzene, sulfur oxides, ammonia, hydrocarbons, formaldehyde and so on caused by pollution caused by decoration materials. Aiming at different air pollutants, this paper introduces the differences and characteristics of several air purification methods, and points out the research significance of air purification technology.
Environmental protection of resource-based cities around the Bohai Sea from an ecological perspective
Authors: Li Bo , Zhang Jing , Liu Jing , Qin Huan
Published: May 2021

The huge demand promotes the continuous increase of the demand for resources by industrial enterprises, and the exploitation of resources will also cause ecological and environmental problems. This paper takes resource-based cities in the Bohai Rim region as the research object, analyzes the development status of the Bohai Rim resource-based cities from the perspective of ecological protection and explores the problems in them, which is beneficial to provide a reference for the green development of resource-based urban industrial enterprises, thereby reducing ecological Pollution. Analyze the status quo of industrial development by measuring the deviation and advancement of the industrial structure. The results show that the level of industrial advancement in resource-based cities around the Bohai Sea has a downward trend; the degree of industrial structure deviation has an upward trend. On the whole, the protective strategies for accelerating the green development of industries in resource-based cities around the Bohai Sea and promoting ecological governance are derived: industrial adjustments must be carried out in a scientific and orderly manner, and the proportion of development among the three industries must be balanced; technological innovation is used to promote the green development of industrial structure.
Study of low-carbon energy development in China: the case of Fujian Province
Authors: Gao Hongye
Published: May 2021

Carbon emissions caused by energy consumption have a serious impact on global climate change, causing serious environmental problems. As one of the world’s largest energy consumers and carbon emitters, China needs to attach great importance to low-carbon energy development, and address major environmental issues such as ecological destruction and climate warming. In the process of energy low-carbon development, Fujian Province is faced with a series of challenges in terms of energy structure, social and economic development, capital and technology, etc. However, at the same time, Fujian Province in China also has opportunities to develop energy low-carbon in terms of emission reduction space and rich forest resources. This paper firstly describes the energy consumption situation in Fujian Province and emphasizes the necessity of using low-carbon energy, then analyzes the energy structure of Fujian Province and the relationship between low carbon development and the adjustment of industrial structure in Fujian Province. Finally, this paper proposes that Fujian Province should make use of the advantages of renewable resources to develop a reasonable low-carbon energy development strategy.
Indoor air pollution and prevention
Authors: Wang Yingchun , Jia Xuelin
Published: May 2021

With the continuous improvement of the social level, the physical health condition is gradually paid attention to. However, most people spend most of their life indoors. Indoor environmental pollution has become a major problem affecting people’s health and safety in modern society. This paper analyzes the status quo of indoor pollution, indoor pollutant sources, indoor pollution hazards, and describes the prevention and control measures of indoor pollution to reduce the harm of indoor air pollution to human body.
The impact of urban green and intelligent logistics on urban environmental protection
Authors: Cao Yuliang , Zhang Xisheng
Published: May 2021

With the acceleration of urbanization in China, the problem of urban pollution has become more and more serious, which has brought great negative impact on people’s life. The construction of urban intelligent logistics system, planning and guiding the green development of the city, at the same time, it also plays a certain role in promoting the environmental protection of the city. In this paper, based on factors other than green and green city green wisdom logistics countermeasure analysis, put forward the comprehensive evaluation index system of green wisdom logistics, combined with urban environmental protection, put forward the application of fuzzy analysis method to evaluate urban environmental protection green wisdom logistics, and put forward the comprehensive evaluation index system of urban green wisdom logistics contributes to promoting the development of green and urban environmental protection.
The New Sealing Structure Design and Research of Pressure Hull of CRDM With the Special Environmental Conditions
Authors: Xu Huaijin , Luo Qingsong , Tang Baoqiang , Ma Zhigang , Han Jiaxing
Published: May 2021

The pressure shell seal structure is an important part of the control rod drive mechanism, and it is also one of the key structures to ensure the normal operation, safety and reliability of the reactor. In this paper, a new type of sealing structure of pressure shell of control rod drive mechanism is proposed to meet the requirements of multiple loading and unloading in special marine environment. Compared with the traditional welding connection structure, it has the advantages of fast and convenient operation, easy replacement of sealing components and so on. It can greatly shorten the loading and unloading time of control rod drive mechanism in the refueling process and avoid damage.
Numerical Simulation Study on Hydraulic Transients in Hydropower Station with Trigeminy Surge Tank
Authors: Li Gaohui , Yang Fei , Zhou Tianchi , Cui Weijie , Yang Shaojia
Published: May 2021

A static and dynamic model for hydraulic transient calculation of three-throttled-orifice surge tank was established based on the basic equations of surge tank, by using structure matrix method (matrix analysis of structure?). Control conditions in an engineering practice were calculated by a simplified model and a three-throttled-orifice model respectively. The results indicate that the maximum pressure at the volute end, the maximum rising rate of unit speed and the water level extremum of the surge tank are basically identical by using these two models, but the minimum pressure at draft tube inlet is significantly different. The three-throttled-orifice model was found capable of calculate the flow between throttled orifices at constant state and the pressure behavior at draft tube inlet during the transition accurately. The selection of the resistance factor is discussed in the end, and it is proved that the resistance factor is allowed to have a certain tolerance in the transition calculation, which will not obviously affect the maximum pressure at draft tube inlet and water level extremum of the surge tank. This research can provide reliable reference for the transient calculation of three-throttled-orifice surge tank in similar engineering practice.
Research on Demand Response Aggregators Participating in Power Market Based on Bi-level Optimization
Authors: Shen Weijie , Fang Cheng , Ma Jiaxin , Lin Jialin , Zeng Ming
Published: May 2021

With the rapid development of smart grid technology, how demand side resources participate in power market has become a research hotspot. This paper proposes a bi-level optimization model for demand side resource aggregators to participate in electricity market transactions. In the bi-level model, the lower level is the wholesale market clearing model aiming at the maximum social benefit, and the upper level is the bidding decision model aiming at the maximum power consumption benefit of air conditioning load. The case study demonstrates the feasibility and effectiveness of the model.
Optimization Research on Surge Chamber of an Energy Dissipation Power Station
Authors: Zhang Shengtai , Wang Delou , Wangjia Danzhen
Published: May 2021

With the development of our country’s economy, water conservancy projects such as reservoirs have taken the leading role in the national economic support, The status of water conservancy projects is getting higher and higher, and the country is paying more and more attention to the optimization of water supply, irrigation, and flood control reservoirs. In this paper, the optimization of the large well section of the surge tank is studied in connection with the establishment of the reservoir and the development of hydropower resources. First, the basic equation of the complex surge tank and the calculation equation of the stable section of the surge tank are established, and the calculation model is established through the HYSIM software. for the optimization of the section area of the surge tank, under different working Cases, different large well diameters were selected, and the maximum and minimum surge fluctuation amplitude, relative speed deviation, adjustment time, attenuation and convergence speed of the surge tank were carried out. Analysis and optimization. In large fluctuating Cases and different large well diameters, the highest and lowest surge of the surge chamber can meet the requirements of structural elevation control, Under small fluctuation Cases and different large well diameters, the water delivery power generation system can meet the stability requirements, The surge decay speed of surge chambers with a diameter of 8m is significantly greater than that of surge chambers of other diameters.
BIM-RFID Technology for Facility Management in Power Systems
Authors: Sun Chenglei , Wang Siwen , Li Longmei
Published: May 2021

Currently, there is a lack of a practical and straightforward method to accomplish concealed facility positioning and maintenance work in power systems, such as a substation or power plant. On the one hand, it is hard to find the accurate location of a specific device that is on the ceiling or underground in the Operation and Maintenance (O&M) phase. Another challenge is to provide useful information for facility maintenance workers and to bring a visible location image for them on the site. In this paper, Building Information Modeling (BIM) and Radio Frequency Identification (RFID) technologies are used to solve facility positioning and maintenance issues in power systems. First, the facility position can be determined by comparing the real RFID tag location with the virtual RFID tag location. Moreover, the target-related facility information for the maintenance work can be acquired by BIM models. Lastly, the live view of the specific location of a concealed equipment can be shown on a mobile terminal on the site by using a simple Augmented Reality (AR) technique. This paper, containing a substation case study, demonstrated that the BIM-RFID technology could achieve precise positioning, efficiency improvements, and re-visit times and costs reduction in power systems.