bluuebunny/crossref_metadata_2025_split huggingface dataset:
Classification and identification of unknown network protocols based on CNN and T-SNE
Authors: Xue Jingliang , Chen Yingchun , Li Ou , Li Fei 
Published: August 2020

Abstract
With the continuous development of users’ demands and network technology, more and more new network protocols emerge, which poses great challenges to network protocol classification and identification. An artificial intelligence method was used to explore autonomous classification and identification of unknown network protocols in this paper in order to reduce the time and labor cost of network protocol classification and identification. In this paper, firstly, the network traffic was converted into grayscale images, and through transfer learning, the Convolutional Neural Networks (CNN) pre-trained model was used to extract the protocol features, so as to reduce the time and the amount of labeled data needed for the artificial neural network training. Finally, with the improved unsupervised hybrid clustering algorithm based on T-SNE and K-means, the types and number of protocols were autonomously identified and the network traffic was classified simultaneously. In this way, we can identify unknown protocols without prior knowledge and the protocol identification adaptability for big data was also greatly improved. Experimental results show this method has high accuracy and robustness in identifying unknown network protocols.
Simulation analysis of passive intermodulation mechanism of transceiver link
Authors: Sun Fei , Jia Yunfeng , Duan Bo , Liu Yuhan 
Published: August 2020

Abstract
The electromagnetic environment of modern battle-field is complex and the interference intensity is large. Under the influence of high field electromagnetic interference, airborne RF equipment becomes the short board of electromagnetic environment adaptability of aircraft. Because of the wide application of military aircraft platform, the external climate and electromagnetic environment are very complex. At the same time, the interior space of military aircraft is narrow and there are many high-power frequency equipment, which lead to a very complex electromagnetic environment inside the aircraft. Under the irradiation of high-power electromagnetic field, passive intermodulation products will be produced in the receiving antenna, transmission line, connector, filter and even some non-metallic conductive materials and aircraft skin under certain conditions. The passive intermodulation products will cause great interference to the airborne high sensitivity receiving equipment, and even burn the receiving equipment in extreme conditions. Therefore, the research on passive intermodulation products of airborne equipment is very urgent.
Design and Implementation of Pedestrian Flow Monitoring and Warning Platform in Public Area based on Pedestrian Detection
Authors: Zhen Aijun , Wang Qingli , Wang Ancheng , Wu Kai 
Published: August 2020

Abstract
In the traditional public area pedestrian flow monitoring, a lot of manpower and material resources are needed. Only relying on people’s eyes to identify and count the number of people in the video under monitoring is not only inefficient, but also has errors in accuracy and wastes a certain amount of energy and financial resources. In the rapid development trend of artificial intelligence, this system starts from the perspective of real-time monitoring, with the maturity and development of machine vision technology, and creates a cloud monitoring platform based on JavaWeb technology. The pedestrian detection technology is applied to the pedestrian flow monitoring, which provides a feasible scheme for accurate and fast pedestrian flow monitoring and warning, and develops a system to help public area managers and government departments to deal with the crowd gathering situation, analyze and monitor the crowd density, and give a quick warning to the crowd outbreak and gathering place.
Application and Algorithm Analysis of Micro-Expression Recognition
Authors: Cai Zhaoqi , Yan Shaowen 
Published: August 2020

Abstract
Micro-expressions (MEs) are the expressions of real emotion in people’s heart. It usually happens when people want to hide their true emotions. Through the study of MEs, we can correctly speculate on the inner activities of the expressors, which has important application value in the fields of criminal investigation, arrest, psychotherapy, education and teaching. At present, more and more people are paying attention to the research of ME recognition. People try to detect MEs by faster algorithms, but the recognition process is affected by many factors, so it is necessary to optimize related technologies as soon as possible to achieve higher accuracy. Therefore, this paper analyzes the application of ME recognition and related algorithms, and puts forward the development prospects.
Design of the Speech Tone Disorders Intervention System Based on Speech Synthesis
Authors: Xinyi Yang , Boyu Si , Qingyun Meng , Kailin Huang 
Published: August 2020

Abstract
Tone Disorder is a typical performance of speech impediment. It has become an urgent matter because of affecting patients’ common communications. In this paper, a speech tone disorder intervention system is designed on MATLAB GUI. By sampling the patients’ speech, extracting and adjusting the pitch information and synthesizing new speech, the system can help patients do self-intervention and build a ‘speech-hearing feedback chain’ for them during the rehabilitation process. The system is non-invasive for intervention of speech tone disorder from the uncoordinated movement of articulatory organs or psychological disorders. The results of two single-subject experiments prove that the system can improve the intervention effect of speech tone disorders intervention and increase the comprehensibility of users’ speech.
Network Intrusion Detection Model Based on Artificial Intelligence
Authors: Meng Qingchuan , Zhang Youzi , Wu Fengzhi , Chen Xiaoming 
Published: August 2020

Abstract
The Internet occupies a more and more important position in people’s life. The society has become more convenient because of the progress of network technology, and the network security problem has attracted more and more attention. Therefore, the security technology based on network is more and more important. Intrusion detection technology is the main research direction of dynamic security tools. Aiming at the problem of low accuracy of network intrusion detection, this paper proposes a network intrusion detection model based on AI, introduces artificial intelligence neural network and algorithm, extracts data feature information through repeated training of the algorithm, and constructs network intrusion monitoring model based on neural network. According to the design goal of the model, the basic framework of the system is given, which provides accurate detection basis for network intrusion detection. The experimental results show that the detection accuracy of the model is high.
Research of Downhole Instructions Decoding with Variable Drilling Fluid Displacement
Authors: Huo Aiqing , Yang Yuyan 
Published: August 2020

Abstract
This paper studied a downlink communication mode in which the effective downhole control instruction was generated by the use of drilling fluid pump displacement to format three descending and three ascending pulse instruction encoding. The principle of the downlink communication was introduced. The encoding idea of the downlink instruction code with 5-bit pulse was described. This downlink code was used to compose the corresponding control instruction which includes the information of the tool face angle and the guide force percentage. The downhole pulse widths were recognized by using STM32 as a micro control chip. The corresponding control commands were identified through the development of the software in the downhole drilling tool. Laboratory ground experiments demonstrated the feasibility of this downlink transmission mode by using variable drilling fluid displacement and the achievability of instruction decoding software.
Development of Intelligent Agricultural Machinery Control Device
Authors: Jiang Ru , Kasimov Farkhod , Zhang Dong , Kaliyeva Kulyash 
Published: August 2020

Abstract
This article is dedicated to creating a low-cost intelligent agricultural machinery control equipment based on ATmega 328p chip. The created control device is used to directly connect various peripheral sensors and actuators of the intelligent agricultural machinery to the computer. The controller circuit design diagram is given, and the control method is presented. The accuracy of the signal input/output channels of the control device to transmit signals was verified through experiments, and the control device was applied to the intelligent agricultural machinery experiment platform. The experimental results are analyzed and suggestions for further development of the control device are provided.
Design and Realization of Automatic Test System for Anti-Jamming Performance of GNSS Receivers
Authors: Wang Zhiying , Wang Menglan , Wei Heng 
Published: August 2020

Abstract
The performance test is a key part of the anti-jamming the global navigation satellite system (GNSS) receivers in researching and production. To solve the big workload and cumbersome in performance tests, an automatic test system is proposed in this paper. This system, whose core part is software which designs in Microsoft Visual Studio, can automatically control jammer, holder and anti-jamming antenna. The test software can automatically receive data from the navigation receiver and the anti-jamming antenna, can automatically statistics the carrier to noise ratio (CNR) and position information, also can automatically monitor the jam to signal ratio (JSR) in real time. Taking the CNR and the position information as anti-jamming performance test indicators, the software can automatically control the radio frequency (RF) power of jammer by setting the start, stop and step values of the jammer power. The test result shows that it can realize the automatic test after setting the necessary parameter. Also, it can automatically generate test report after completing the test. This system improves the efficiency of the anti-jamming performance test of GNSS receivers.
Investigation into the finger structure capacitor in the micro force measurement device
Authors: Xu Li , Wang Shuxiang , Li Qian , Zheng Peiliang , Huang Zhenyu 
Published: August 2020

Abstract
The finger structure capacitor in the micro force measurement device was investigated by theory model analysis and comparative analysis with traditional parallel plate capacitor. The relationship between the micro force output and the distance variation between the electrodes was analysed. The micro force output of the finger structure capacitor and the traditional parallel plate capacitor were compared. Results show that the finger structure capacitor could produce stable micro force values when the finger structure parameters satisfied with x0/g >5. The output micro force value changed by less than 2% when the distance changed within 1mm in this range. Compared with traditional flat capacitors, the new finger structure capacitor greatly reduced the influence of the measurement and control uncertainty of the distance on the output micro-force values. The new finger structure capacitor device had little change in the output of micro force within 1mm distance variation and its output value changed with 1.7%, under the conditions of different applied voltages.
Research on Non-destructive Testing Method of Coating Thickness of Turbine Blade
Authors: Wu Jie , Li Ye 
Published: August 2020

Abstract
Turbine blades are an important component of the turbine section of a gas turbine engine. High-temperature blade coating is a key technology for the manufacture of turbine engines, and its complex surface structure is currently lacking an effective non-destructive evaluation method for coating thickness. In this paper, the eddy current field is directly exciting in the substrate metal of the turbine blade coating system to achieve non-destructive detection of the coating thickness and substrate material. The results show that a new method of coating non-destructive testing based on the principle of array induction logging three-coil system is proposed. The shielding coil effectively cancels the direct coupling signal and enhances the signal from the coating and the substrate; when the distance between the transmitting coil and the main receiving coil is 8cm and the scale factor α is about 0.7047, the signal-to-noise ratio is increased by 102 times, and when the scale factor α is about 0.9032, the signal-to-noise ratio is increased by 215 times, the focusing effect is obvious while the scale factor α raises, and the sensitivity is also greatly improved; the receiving array is more than 4cm away from the transmitting coil, reflecting the more obvious change of coating thickness. When the distance between the transmitting coil and the main receiving coil is 4∼9cm, and the scale factor α is about 0.9032, the imaginary part of the measurement signal reflects the coating thickness changes more sensitively, and the real part of the measurement signal reflects substrate material changes more sensitively.
Cryogenically printed flexible chitosan/bioglass scaffolds with stable and hierarchical porous structures for wound healing
Authors: Wu Chunxuan , Yu Zehao , Li Yihan , Zhou Kui , Cao Chuanliang , Zhang Peng , Li Wenchao 
Published: August 2020

Abstract
Wound healing is a dynamic and well-orchestrated process that can be promoted by creating an optimal environment with wound dressing. An ideal wound dressing material should possess a suitable matrix, structure and bioactive components, functioning synergistically to accelerate wound healing. Wound dressings that allow reproducibility and customizability are highly desirable in clinical practice. In this study, using chitosan (CS) as the matrix and bioglass (BG) as the biological component, a spatially designed dressing scaffold was fabricated from a home-made cryogenic printing system. The micro- and macro-structures of the scaffold were highly controllable and reproducible. The printed scaffold exhibited interconnected and hierarchical pore structures, as well as good flexibility and water absorption capacity, and these properties were not affected by the content of BG. Nevertheless, when the content of BGs exceeded 20% that of CS, the tension strength and elongation rate reduced, but in vitro antibacterial, cell proliferation and migration performance were enhanced. In vivo examinations revealed that the composite scaffold significantly promoted wound healing process, with the group having 30% bioglass showing better wound closure, neovascularization and collagen deposition than other groups. These results indicate that the 3D printed CS/BG composite scaffold is a promising dressing material that accelerates wound healing.
Riverbank macrolitter in the Dutch Rhine–Meuse delta
Authors: van Emmerik Tim , Roebroek Caspar , de Winter Winnie , Vriend Paul , Boonstra Marijke , Hougee Merijn 
Published: August 2020

AbstractAnthropogenic litter in aquatic ecosystems negatively impacts ecosystems, species and economic activities. Rivers play a key role in transporting land-based waste towards the ocean. A large portion however is retained within river basins, for example in the estuary, in sediments and on the riverbanks. To effectively identify litter sources, sinks and transport mechanisms, reliable data are crucial. Furthermore, such data can support optimizing litter prevention mitigation and clean-up efforts. This paper presents the results of a 2-year monitoring campaign focused on riverbank macrolitter (>0.5 cm) in the Dutch Rhine–Meuse delta. Between 2017 and 2019, volunteers sampled 152 415 litter items at 212 unique locations. All items were categorized based on the River-OSPAR method (based on the OSPAR beach litter guidelines), which includes 110 specific item categories across ten parent categories. The median litter density was 2060 items/km, and the most observed items were foam, hard, and soft plastic fragments (55.8%). Plastic bottles, food wrappings and packaging, caps, lids and cotton swabs were the most abundant specific items. The litter density and most abundant items vary considerably between rivers, along the river, and over time. For both rivers however, the highest litter density values were found at the Belgian (Meuse) and German (Rhine) borders, and at the Biesbosch National Park, the most downstream location. With this paper, we aim to provide a first scientific overview of the abundance, top item categories, and spatiotemporal variation of anthropogenic litter on riverbanks in the Dutch Rhine–Meuse delta. In addition, we evaluate the used River-OSPAR method and provide suggestions for future implementation in (inter)national long-term monitoring strategies. The results can be used by scientists and policy-makers for future litter monitoring, prevention and clean-up strategies.
Projections of Arctic sea ice conditions and shipping routes in the twenty-first century using CMIP6 forcing scenarios
Authors: Wei Ting , Yan Qing , Qi Wei , Ding Minghu , Wang Chuya 
Published: August 2020

Abstract
The accelerated decline in Arctic sea ice in recent decades suggests the possibility of future trans-Arctic shipping routes linking the Atlantic and Pacific oceans, with significant implications for the global economy. We present a projection of Arctic sea ice conditions and shipping activities during the 21st century based on 16 CMIP6 models calibrated to remove spatial biases. The multimodel ensemble mean shows that the Arctic is likely to be ice-free in September by 2076 and 2055 under the SSP2-4.5 and SSP5-8.5 scenarios, respectively, whereas the extent of sea ice is >2 × 106 km2 throughout the 21st century under the SSP1-2.6 scenario. The Arctic sea ice in September thins over time, leading to a reduction in the area with an ice thickness >120 cm (i.e. the threshold over which sea ice is inaccessible to Type A vessels) by 34–100% by the late 21st century (2086–2100) under the three scenarios. Given the declines in the extent and thickness of sea ice, the most commonly traversed route along the North West Passage tends to migrate from the southern to the northern route during the 21st century. The optimum route along the Northern Sea Route shifts northward with time, with the Transpolar Sea Route becoming available. Quantitatively, the maritime accessibility to Type A vessels via the Transpolar Sea Route increases from ∼6.7, 4.2 and 2.1% in 2021–2035 to 14.7, 29.2 and 67.5% in 2086–2100 under the SSP1-2.6, SSP2-4.5 and SSP5-8.5 scenarios, respectively. The season for trans-Arctic shipping extends from 5 to ∼7.5 (9) months by the late 21st century under the SSP1-2.6 (SSP2-4.5) scenario and the Arctic becomes navigable all year round under the SSP5-8.5 scenario. These findings may aid in developing strategic planning by governments for the Arctic and providing strategic advice for the global maritime industry.
Towards a Collaborative Strategy for Land and Marine Geospatial Data Integration: A Review
Authors: Rosly MA , Ahmad A , Tarmidi Z , Khair Z , Zulkifli N 
Published: August 2020

Abstract
Malaysia is among the countries in Southeast Asia surrounded by sea, apart from Thailand, Singapore, Brunei, Indonesia, Philippines and a few others, with about 515,000 kilometres squared land at sea level skirting Malaysia along 4,809 km of coastlines. Improving the management of coastal areas is important to improve the sustainability of the areas, and one way to achieve this is through collaborative management by integrating land and marine spatial data. This paper highlights the importance of bringing in the concept of collaboration between agencies and addresses issues related to the realization of integration of dataset sharing between land and marine. The concept of collaboration, past studies related to development of collaboration strategies, issues and problems in collaboration, as well as success factors in the collaboration process are discusses in this paper to demonstrate the importance of building a collaborative strategy model to enable the integration of geospatial datasets between land and marine.
Assessing the Sustainable Fishery-based Industry in Malaysia Using the Analytic Hierarchy Process (AHP)
Authors: Awang A , Wan Mohd W R , Abdullah L , Lee S T 
Published: August 2020

Abstract
The concept of sustainability in the fishing-based industry is to reach and maintain the fishery at the maximum sustainable yield. This principle is important to ensure that the population of fish is maintained without compromising the ability of the future generations to meet their own needs. Inefficient sustainable management could cause the depletion of natural resources, pollutions and natural habitat loss in the future. Therefore, a good sustainable management for fishery should be emphasized so that future generations can enjoy what we have today. However, the fishery management is characterized by multiple conflicting attributes which are complicated to be inspected. In this paper, we would like to investigate the fishery management problem analytically by using the Analytic Hierarchy Process (AHP) method. Considering four criteria and thirteen sub-criteria influencing to the sustainability in the fishery-based industry, the AHP method will analyse and prioritize each criterion and sub-criterion. The BPMSG AHP Online System is used as the tool to process the collected data and the final results show that the protected species interaction (PSI) is the most important sub-criteria towards achieving the sustainable fisheries. This followed by the sub-criteria of profit (14.2%), employment (10.9%) and overfishing (8.90%). These four top sub-criteria must be monitored regularly as it can influence the sustainability of fishery-based industry. The other sub-criteria have their own priorities which should not be neglected as well.
Examining the convergence of energy consumption: comparison between oil importing versus oil exporting countries
Authors: Fauzi N N , Raja Bungsu R R A , Sek S K 
Published: August 2020

Abstract
Convergence analysis is one way to check for the sustainability. In this study, examination of convergence is performed to check on the sustainability of energy consumption in the main oil importing versus oil exporting groups. In particular, we examined for stochastic versus beta conditional convergence. In addition, the speed of convergence is compared among countries using time series and panel data analyses. For the purpose of analysis, the generalized method of moments (GMM) and seemingly unrelated regression augmented Dicky-Fuller (SURADF) techniques are applied. The results revealed the evidences of convergence in energy consumption in two groups of countries, indicating the sustainable of energy consumption. The speed of convergence is very similar for both groups of countries. However, the speed of convergence is varying across individual countries. The main determinant contributes to energy consumption is oil price.