bluuebunny/crossref_metadata_2025 huggingface dataset:
Environmental pollution monitoring using a Web-based GIS in Surakarta
Authors: Noor Anna Alif , Rudiyanto  , Nahdhiyatul Fikriyah Vidya
Published: August 2019

The case of environmental pollution is usually not all exposed onmedia. As such, environmental pollution monitoring needs to be done, hence the government can take legal measures against it. Monitoring environmental pollution will be more effective when involving community. The development of geospatial technologies such as Web-based GIS is helpful for monitoring pollution inenvironment. This is due to the Web-based GIS has several advantages including easy tooperate, easily accessible and able to present data (spatial and non-spatial) in real time. The purpose of this research is to develop a web-based GIS for monitoring environmental pollution. The software was developed using Rapid Application Development (RAD). Software development using technology based on opensource (CodeIgniter, Bootstrap, OpenLayers, and GML). The results show that the utilization of web-based GIS technology for environmental pollution monitoring is easily accessible and operated by user. Furthermore, the trial results show that the utilization of developed web-based GIS technology can operate properly and present data interactively.
Improving the capacity of the alertness disaster group in managing the environment and disaster risk
Authors: Carlo Nasfryzal , Rita Eva
Published: August 2019

Disaster Alertness Group (DAG) is a community group formed in the disaster-prone areas. DAG establishment is preceded by a briefing knowledge of threats and risks of disaster that may occur in the neighbourhood. By having the knowledge, DAG and the community identify the potential threats of disasters and plan the appropriate activities or actions to reduce the impact of the disasters in the future. Furthermore, the action conducted jointly activities based on the scale priority. All activities have been done in Nagari Salayo (Salayo village), District of Solok, West Sumatra by using Participatory Rural Appraisal (PRA) method. As a result, the capacity of DAG has been improved in managing the environment from threat disaster (hazards) in Nagari Salayo. Some actions have been done based on the discussions of the citizens who are members of DAG. There are some alternative plans to be done in order to reduce the disaster risks, such as tree planting, installing signals for evacuation on evacuation tracks, improving the irrigation and drainage canals, and facilitating a briefing knowledge of Bank Sampah or “Waste Bank” to the Disaster Alertness Group.
Child-friendly Kampoong: quality of play value criteria for children’s identity and play place in Malang, Indonesia
Authors: Murti Nugroho Agung
Published: August 2019

The paper discusses child-friendly kampoong. A kampoong with a complex and diverse environment is a dense residential reality in urban areas that gives the impression of slums and unorganized. The kampoong actually contains cultural values of shared life that must be maintained and preserved especially for children. The paper aims to study the criteria for developing the quality of play value for children identity and play place in Malang, Indonesia. The reserch method about the social identity and children play place using narative method with a qualitative approach to obtain the general condition of child-friendly kampoong. The method used in determining the quality of play value criteria using Analysis Hierarchy Process through interviews with experts. Discussions about child-friendly kampoong included child-friendly city, the character of children’s friendly play value space; children’s friendly kampoong as social identity; children play place and quality of play value space. The results indicate the main criteria for quality of play value according to the experts is safe spaces with value of 0.141. Using several broader perspectives, it is hoped that this paper can foster awareness about safe, comfortable and enjoyable playgrounds in urban dense environments.
Conflict among stakeholders in karst area management of Pati Regency
Authors: Purnaweni Hartuti , Kismartini  , Budy Pratama Arif , Wulandari Catur
Published: August 2019

Environmental emntal problem leading to conflict among stakeholders occurred in Pati Regency, Central Java Province, when local community of Samin people and mining company were involved in dispute concerning the situation in the North Kendeng karst mountain area. The mountain has been known for limestone richness as a result of natural processes through geological space and time. This research applied a descriptive-qualitative method, focused on the aspect of conflict between local people and PT. Semen Gresik, Tbk., and between the local people and Pati Regency Government. Research data were collected by observation, in-depth interviews, and analyses of secondary sources. The qualitative data were analysed by a descriptive-qualitative approach, more familiarly known as qualitative-descriptive analysis. There is conflict of interest between those agree and disagree with the karst exploitation for cement factory, which has been them known nationally. Opposition strategy by the local people around the karst area in Pati Regency by opposing the cement industry cooptation was similar to the strategy applied in other conflicts. The “shifting strategy” of the cement conflict in Pati is difficult to vanish because it has been strongly rooted in Saminism. Therefore, better mediation must be well practiced.
Revitalization of cloves cultivation in Central Java, Indonesia
Authors: Riptanti E W , Qonita A , Uchyani R
Published: August 2019

Clove (Syzygium aromaticum) is an Indonesian indigenous plant, which belongs to the most valuable spices in the world. Central Java has been one of the clove production centers in Indonesia, but in the last six years, the area and production tend to decline due to poor management. In order to revive the glorious existence of the clove, the act of revitalization in the clove cultivation becomes crucial, given the role of clove as one of the world’s important commodities. This research uses purposive sampling in some regions, namely Wonogiri Regency and Pemalang Regency. The respondents selected as subjects of this research are 30 clove farmers chosen from each regency in purposively using snowball-sampling technique. Apart from the clove farmers, the information is gained from the Field Extension Officer, farmer groups, clove traders, and any representatives from the related agencies. Revitalization is carried out by increasing the capacity building, the institution, and the cultivation activity of the clove farmers. The key of success in this effort is the good collaboration between the farmers, farmer groups, and the stakeholder involved.
Research on welding technology and properties of aluminum alloy and dissimilar metals
Authors: Liu Yan , Zhou Guishen , Yao Yu , Ye Haiqing
Published: August 2019

This paper summarized the characteristics of welding technology between aluminum alloy and dissimilar metal. The welding technology and properties of different metals between aluminum alloy and steel, magnesium and copper were described in detail. The influences of welding parameters and metal composition on the microstructure and properties of welded joints were analyzed. In the future, it is necessary to strengthen the research on the welding of aluminum alloy, ultra-high strength steel, titanium and other high-end metals. New welding methods, new improved welding technology, adding suitable alloy elements and so on are needed to carry out for in-depth theoretical and practical research.
Spin-dependent transport in Normal/Ferromagnetic/Normal monolayer zigzag molybdenum disulfide nanoribbon junction
Authors: Jin Jing-Jing , Hao Xiao-Juan , Yang Qi-Juan , Yuan Rui-Yang
Published: August 2019

In this paper, with the three-band tight-binding model, we investigate spin transport in Normal/Ferromagnetic/Normal monolayer zigzag molybdenum disulfide nanoribbon junction with double electric barriers using Green’s function technique. We discuss the influence of the height of the double electric barrier on spin transport. The results demonstrate that spin conductance has relatively large dependence on electric field modulation. We can obtain large spin polarization in low energy region which may be applied as a spin filter. In addition, we study the effect of magnetic field, and we find that we can obtain a larger spin polarization area which may provide a theoretical basis for spin filter application.
Crystallization, Melting Process and Optical Property of PLLA/PABBH System
Authors: Zhao Lisha , Cai Yanhua
Published: August 2019

The goal of this research was developing a new organic nucleating agent and investigating its influence on the non-isothermal crystallization including melt-crystallization and cold-crystallization, melting behavior and optical property of Poly(L-lactic acid) (PLLA). The results from the melt-crystallization indicated that the N, N′-bis(benzoyl) phenylmalonic acid dihydrazide (PABBH) could be used as an effective role in nucleation, and 2 wt% PABBH had the best crystallization promoting effect for PLLA. However, the increase of PABBH content made the cold-crystallization peak shift toward the higher temperature. The melting behavior of PLLA/PABBH sample depended on the crystallization time, and the double-melting peaks were ascribed to the melting-recrystallization. The introduction of PABBH seriously decreased the transmittance of PLLA resulting from an increase of crystallinity and the yellowish-brown of PABBH itself.
Predication of Dry Rubber Content in Hevea Latex based on SPSS Multiple Regression Model
Authors: Zhang Fan , Liao Lusheng , Huang Hui , Zhang Fuquan , Wang Bingbing , Long Huaqian
Published: August 2019

The Dry Rubber content (DRC) in hevea latex is affected by a great many of factors, including producing area, strains, tree age, cutting system, origins and so on. Each factor was discussed and evaluated to confirm the influence degree. A predication model based on SPSS multiple regression models was constructed to analyse the factors influencing the DRC, and the regression equation was used to forecast the DRC in natural rubber latex. The results show that the predication model has a good achievement and the average relative error was 7.4%
Study on Reinforcement of Transverse Prestressed Carbon Fiber Slab for Assembled Skew Hollow Slab Bridge
Authors: zou Lanlin , Cai Rui , Wu Yaohui
Published: August 2019

Assembled skewed hollow slab bridge can improve the line shape of the road and adapt to the complex and changing urban street conditions, making the whole route smooth, thus shortening the route and bridge length and improving economic benefits. Assembled skewed bridges are more complicated due to their forces, which leads to more prominent problems in the hinged joints of inclined bridges. When lateral prestressing is applied to the two straight sides of the skewed bridge, it is difficult to achieve the effect of prestressing at the ends. Aiming at this problem, a scheme of reinforcement with transverse prestressed carbon fiber slabs is proposed, and a solid model of fabricated oblique slab bridges is established by ABAQUS finite element software. The results show that the method of transverse prestressing CFRP plate reinforcement is effective for Assembled Skew Hollow Slab Bridge.
Non-close packed photonic crystal hydrogel for glucose detection
Authors: Lan Yunhe
Published: August 2019

Based on the importance of fast and non-invasive detection technology of glucose monitoring, a glucose sensor based photonic crystal hydrogel material was prepared. The phenylboric acid was the glucose recognition molecule and the three-dimensional non-close packed array was the signal transformation structure. The experimental results show that the recognition behavior of the hydrogel is shown in the form of diffraction wavelength. As the glucose concentration increases from 0 mol/L to 50 mM, the blue shift of the diffraction wavelength occurs at 10 nm, showing a good sensing property.
Research of Reverse Engineering on Dimensional Accuracy of Parts in Digital Casting Process
Authors: Zhang Yuanfei , Zhao Xudong , Yang Ke , Xue Kaihua , Yao Pingkun , Yao Shan
Published: August 2019

Dimensional accuracy has been recognized as the main challenges for castings that we have to overcome as manufacturing industry is proceeding at an astounding rate. The advent of rapid casting has already changed the casting patterns, which means that foundry of metal part is no longer restricted by difficulties of tooling processing especially in the case of complex design castings. It is true that this new technology which is time-saving and high-precision relatively may create new types of quality problems. The overall effort of the present article is to evaluate the dimensional accuracy of sand mold and metal part throughout the digital casting process so that a more accurate dimensional compensation could be applied to the next time. The dimensional accuracy of sand mold manufactured by 3D Printer and the final aluminum-based tire mold casted by the sand mold have been discussed quantitatively by using three-dimensional laser scanner. The effect of different directions on dimensional deviation of important surface is also discussed in this paper. It is found that the difference of sand mold mainly depends on the deviation in printing direction and a downward trend of the patterned surface would appear after the post curing. For the metal casting, appropriate dimensional compensation 1mm/m upon the pattern surface in Z direction is a good choice for further designing. This reverse engineering approach is applicable to not only the tire mold forming but also other industrially relevant parts manufacturing.
Discussion on The Construction of Substation Security Video Surveillance System
Authors: Jiangtao Hu
Published: August 2019

The construction of security video surveillance system is the key to ensure the normal operation of substation. In order to ensure that this system can play its intended role, this paper will first analyze the defects existing in the application process of video surveillance system of existing power enterprises. And then based on this, the core technologies to be applied in the new substation security video surveillance system are introduced. The third section and the fourth section respectively discuss the design and construction methods of the hardware system and software system in the system.
Research on tooth profile modification of two spur gear driven system
Authors: Bin Zhang
Published: August 2019

The gear system of a certain type of space drive mechanism generates vibration during the actual operation, which leads to a decrease in transmission accuracy and seriously affects the normal operation of the system. A nonlinear dynamic model was established for this problem, and the tooth profile error and tooth profile modification were considered in the model. The dynamic characteristics of the space drive mechanism gear system were analyzed by the dynamic model. The influence of the profile modification parameters on the dynamic load coefficient and load transmission error was analyzed. The purpose is to reduce the vibration amplitude, reduce the transmission error and improve the transmission accuracy during gear transmission through the profile modification. The analysis results in this paper enrich the research on tooth profile modification of gear system, and provide a theoretical basis for the subsequent design of gear system and the improvement of vibration and noise during operation.
Research on Drilling Force Model of KFRP
Authors: Qi Baoyun
Published: August 2019

Kevlar fiber reinforce polymer (KFRP) is abroad applied in military weapon with excellence performance, but it is difficult-cutting-material. For improving its cutting efficiency, drilling parameter optimize model of KFRP was researched. Based on the cutting test data, the optimize model of KFRP was obtained by linearity regression method. The comparison result of experiment value and simulation value indicated that MA.FORD unconventionality drilling tool was suit for KFRP, and had the advantages at high speed cutting; SUPERLERTOOLS conventionality drilling tool was not suit for KFRP. In addition, the main cutting force reduced with cutting speed and had little change with feed speed for MA.FORD tool.
Bayesian Statistical Analysis of Lifetime Performance Index of Exponential Product Under Precautionary Loss Function
Authors: Chen Zhaoren , Liu Wanzhen
Published: August 2019

The purpose of this paper is to study the Bayesian estimation of life performance index when product’s life obeys exponential distribution based on complete samples. The Bayesian estimator of the life performance index is obtained when the prior distribution of the unknown parameter is the Gama prior distribution and the loss function used in this paper is the precautionary loss function. Furthermore, a new Bayesian testing procedure is developed using the obtained Bayesian estimator. Finally, a practical example is used to illustrate the effectiveness and feasibility of the results.
Design and Ballistic Penetration of “SiC/Ti6Al4V/UHMWPE” Composite Armor
Authors: Gao Yongji , Feng Xinya , Liu Jinxu , Fu Haidong , Li Shukui , He Chuan
Published: August 2019

The penetration resistance of “SiC/Ti6Al4V/UHMWPE” composite armor, which involves four different constructions at the same area density, has been designed and presented against 12.7 mm armor piercing (AP) projectiles experimentally. Three armor materials, including silicon carbide (SiC), Ti6Al4V, and ultra-high molecular weight polyethylene (UHMWPE) fiber composite, were prepared together with the investigation on their mechanical properties. Subsequently the composite armors were manufactured by adhesive technology. The ballistic test results show that the target of SiC/UHMWPE and Ti6Al4V/UHMWPE exhibits better penetration resistance against 12.7 mm AP. The study on the protective mechanism indicates that the thicker ceramic front layer can prolong the interaction time with the projectile, causing more energy dissipation by blunting, eroding, and breaking the projectile efficiently and then the thicker UHMWPE backing layer can fully utilize the tensile deformation of fibers to absorb the remaining energy of the projectile. The enlarged loading area of UHMWPE backing plate caused by the deviation of projectile and the petalling fracture of Ti6Al4V can help to fully develop the tensile deformation of fibers, resulting in more energy absorption. For the target of SiC/Ti6Al4V/UHMWPE, Ti6Al4V interlayer contributes to enhancing the ballistic penetration resistance of composite armors by supporting the front ceramic layer and enlarging the loading area of UHMWPE backplate. However, the insertion of Ti6Al4V partly reduces the thickness of SiC layer and UHMWPE composite layer at the equal areal density of the system, leading to the poorer ballistic penetration resistance of the target of SiC/Ti6Al4V/UHMWPE than that of SiC/UHMWPE and Ti6Al4V/UHMWPE.
A multi-platform sensor networking scheduling method
Authors: Yunpu Zhang , Xiusheng Duan , Ganlin Shan , Gongguo Xu
Published: August 2019

In order to make the sensor system accomplish the target tracking task and reduce the amount of electromagnetic radiation, a multi-platform active and passive sensor network scheduling method for target tracking task is studied. In this method, the radiation state of the active sensor is quantified by the influence of the radiation degree, and the radiation model based on the partial observable markov decision process is established. Then, according to the target tracking task requirements, considering the task requirements and tactical constraints, the objective optimization function is established, and finally the scheduling algorithm under the radiation control is given. Simulation results show that the algorithm is effective and reasonable.
Anti - follower jamming analysis of multi - sequence frequency hopping in AWGN channel
Authors: Wang Yaobei , Quan Houde , Sun Huixian , Cui Peizhang
Published: August 2019

The modulated signals sent by conventional frequency-hopping systems are easily affected by follower jamming. Multi-sequence frequency-hopping is a frequency hopping communication system that uses channels to represent messages. It has good anti-follower jamming performance.Compared with differential frequency hopping, which uses user data to determine the transmission frequency, increasing frequency hopping sequence as a constraint can better suppress out-of-band jamming. In order to further study the effect of multi-sequence frequency hopping under follower jamming, a new multi-sequence frequency hopping transmission model under AWGN channel is established, the principle of multi-sequence frequency hopping anti-jamming was analyzed, and the performance of multi-sequence frequency hopping under follower jamming with different parameters is studied. The oretical analysis and simulation results show that multi-sequence frequency hopping can gain about 2.47-2.7dB when the SNR is 13.35dB and the BER requirement is 10^(-4), compared with the conventional frequency hopping.
Sensitivity Analysis of Aircraft Design Service Goal to Expected Operation Route
Authors: Li Zhongjian , Yu Mengze
Published: August 2019

The design service goal of commercial aircraft is defined by flight cycles, flight hours and calendar years, which affects aircraft structure weight, maintenance interval and operation economy. The design service goal is closely related to expected operation route. Two methods are applied to calculate three lengths of anticipated flights, including short, medium and long flight. Criterion of utilization rate and minimum design service goal are used to calculate flight cycles and flight hours. Sensitivity analysis of aircraft design service goal in regard to expected operation route shows that flight cycles depend on short flight and flight hours depend on long flight. Shorter route distance leads to larger flight cycles and more significant change per unit of route distance. Longer route distance leads to larger flight hours and there exists an approximately linear relation.
A learning method to optimize depth accuracy and frame rate for Time of Flight camera
Authors: Chen Yan , Qian Keyuan , Cheng Xuanye , Zhou Jingkun
Published: August 2019

Time of Flight cameras attracts increasing attention due to their ability to robustly predict depth values of the scene. The principle of actively emitting modulated signals and receiving sampled signals causes that the artifacts generated by motion blur seriously affect quality of imaging and the power consumption of the light source. The problem of shorter exposure time is that the raw measurements have a lower signal-to-noise ratio. Reducing the four frames of raw measurements for depth reconstruction to two frames can make it difficult to effectively suppress noise from the background infrared signal and capacitive components. However, shorter exposure time and reducing four frames of raw data to two frames will greatly reduce the motion blur of the time-of-flight camera with a higher frame rate and lower power consumption. We propose a method based on deep learning and make it possible to reliably recover the depth information even under extremely low signal-to-noise ratio and the noise of electronic components for alleviating the motion blur problem. The experiment results fully demonstrate the reliability of our solution. Our algorithms and data will be published in the future.
Control design of a gyro-based wave energy converter for autonomous underwater vehicle
Authors: Hou Puyue , Liu Li , Guo Liming , Zhou Yuying
Published: August 2019

Autonomous Underwater Vehicle (AUV) is an intelligent machine that works at hazardous underwater environment. It can only operate for hours or days at a time by battery charging system. This paper presents a new gyroscopic charging system to reform the traditional way. The new system utilizes the gyroscopic effects of a large rotating flywheel in combination with a controlled power take-off device to extract power from wave motion. In this paper, a gyroscopic energy converter model is given, which contains a description of dynamic equation and controlling design. Consequently, a detailed process of applying the gyroscopic system to a typical AUV is shown. The gyroscopic charging system promises to reduce AUV battery requirements negating the necessity to carry sufficient energy reserves (size and weight) for entire missions, reduce costs by freeing support vessel time (a major cost component in AUV deployment) and enable AUVs to be remotely and renewably recharged at sea, indefinitely extending missions. Software simulation is the main method to prove the validation of the results. The results show that the generated power is sufficient to provide power for AUV which is better than the battery charging system.
Design of head-pursuit guidance law based on sliding mode control
Authors: Zhu Chenqi , Mu Dejun
Published: August 2019

This paper proposes a new head-pursuit guidance law based on sliding mode control to intercept hypersonic vehicle in terminal phase. In order to alleviate chattering phenomenon caused by sliding mode control and ensure the convergence speed, the combination of linear sliding variable and fast power reaching law is adopted. Furthermore, an adaptive sliding mode guidance law is designed for solving the problem of unknown upper bound of the disturbance. Also, these algorithms are proved by the theoretical perspective based on finite-time convergence theory. Finally, numerical simulations are presented to illustrate the correctness and effectiveness of the methods.
XSS Attack Detection and Prevention System Based on Instruction Set Randomization
Authors: Wang Qijin , Huang Jun , Qi Xiaoxia
Published: August 2019

As one of the most popular security vulnerabilities in Web applications, XSS has been widely researched and applied. This paper presents a XSS detection and prevention system aimed at solving the problem of website being attacked by increasingly sophisticated and severe XSS. The method proposed in this paper encodes the HTML/JavaScript keyword in the Web application by randomization and distinguishes the malicious attacks. The results show that this method not only can effectively detect and defend reflective and storage XSS attacks, but also it has better system response.
Range-segment Motion Compensation based on Integrated INS for Wide-swath Synthetic Aperture Sonar
Authors: Zhang Yu , Zhong Rongxing , Liu Jiyuan , Wei Linzhe , Wang Peng , Zhang Pengfei
Published: August 2019

Motion errors have severe effect on synthetic aperture sonar (SAS) imagery if worse than a fraction of a wavelength along the entire aperture. Not only currents, but vehicle instability randomly causes periodic motion errors in the synthetic aperture and grating lobes in the SAS images as well. Displaced phase center antenna referred to as micro-navigation has been developed with multiple-receiver SAS for a long time, but still has challenges against larger motion errors. The integrated inertial navigation system comprising an inertial navigation system (INS) and other aided sensors such as a Doppler Velocity Log (DVL) and a surface ship’s Global Position System (GPS) is an unavoidable and trade-off solution to the problem of motion estimate, which is definitely more robust and reliable with the application of the multi-sensor data fusion. Besides, the motion error is variant along the slant range. For a better resolution of the wide-swath SAS, a range-segment motion compensation method based on the integrated inertial navigation system is presented in the paper. This method relies on the multi-sensor data fusion of the integrated inertial navigation system via Kalman filter and is found to significantly outperform the conventional method.
Research on the Negative Effect and Countermeasure of Multimedia Technology Teaching Application
Authors: Guangyang Xu , Li Zhou , Zhangmei  , Haiyan Yang
Published: August 2019

With the rapid development of information age, the emergence of various new techn ologies constantly and widely used.In the field of education teaching, useing multimedia techn ology in teaching and learning is the indispensable method and approach, but through the educ ation of modern multimedia technology applied in teaching and research. In the whole process of teaching and learning people often only pay attention to its advantages, and even exaggerati ng the role of it, but neglect its negative effects on the effect of teaching and learning. This arti cle from the multimedia teaching present situation, the multimedia teaching application such as negative effects and the reasons for the in-depth study, research and analysis, put forward the s cientific application of the principles and strategies of using multimedia teaching.
Reform and Exploration of Accounting Professional Practice Teaching under the Background of Artificial Intelligence
Authors: Guomin SONG
Published: August 2019

The generation of artificial intelligence has brought about tremendous changes in the traditional financial processing model, financial processing process and the duties of financial personnel, which has brought great changes to the accounting field. This change in the accounting field directly affects the transformation of the teaching ideas of higher education institutions as a training medium for high-quality applied accounting talents. Based on this, in order to meet the needs of the accounting professional education in colleges and universities to adapt to the needs of intelligent accounting talents, this paper focuses on the analysis of the problems existing in the current accounting practice teaching in the context of artificial intelligence from the perspective of practical teaching reform. At the same time, this paper explores the new direction of accounting practice teaching reform from the aspects of accounting practice teaching content, accounting practice teaching environment, accounting practice teaching staff team and accounting practice teaching evaluation system.
Modulation Recognition of Digital Signals Based on Deep Belief Network
Authors: Yunxin Guo , Yue Zhang , Hong Ma
Published: August 2019

A modulation pattern recognition method for digital modulation signals, 4ASK, BPSK, QPSK, 2FSK and 4FSK digital modulation signals, which is based on deep learning model of deep belief network is proposed. The modulation signal is pre-processed and its high order cumulants are calculated as input training features. Solutions to the problem that the same high Modulation signals are generated in different SNR environments. Using the semi-supervised learning characteristics of deep confidence network, data sets are obtained to train the parameters of deep Confidence network layer by layer for feature extraction and recognition of modulation modes. The simulation results show that the recognition rate of this method is ideal.
Three Calculation Methods of the WGM Cylindrical Cavity Diameter
Authors: Li Zhou , Guangyang Xu , Jiufu Chen , Lisha Wang , Yao Zhang
Published: August 2019

WGM mode in cylindrical cavity can be rapidly calibrated with analytical approximate formulas based on cylindrical micro-cavity WGM resonance peaks position. On this basis, the diameter of circular cavity can be calculated by applying the three methods, which are the first-order approximation method, the second-order approximation method and mode field radius. When comparing the results which are got from the three methods with the actual geometric diameter, we find that the deviation is within 3%, 2%, 1% respectively. As a result, the diameter of circular cavity can be correctly worked out by making use of these three ways mentioned.
Research on Robust Algorithm of Color Holographic Watermark Based on DCT-DWT
Authors: Li S K , Wang A L , Pang J P , Guo L , Xin K , Fan S X , Liu F P
Published: August 2019

Based on the DCT-DWT algorithm, a new method for embedding color holographic watermarks into color carrier images is proposed. The color watermark image and the color carrier image are divided into three channels: R, G, and B. The hologram is generated for each channel’s watermark image by a four-step phase shift method, and the hologram is subjected to Arnold transformation. The carrier image is decomposed by first-order wavelet, the watermark embedding space is changed from spatial domain to transform domain, low-frequency components are extracted and segmented, the scrambled holographic watermark images are respectively sub-channel embedded in the carrier image by discrete cosine transform. The experimental results show that the algorithm is robust and can resist some conventional attacks. In this algorithm, the watermark image is transformed into a hologram, which increases the difficulty of decryption.
Large-scale resource scheduling method using improved genetic algorithm combined with secondary coding in cloud computing environment
Authors: nan Gu Nan , yang Yao Pei , qiang Jiao Zhi
Published: August 2019

This paper proposes a large-scale resource scheduling method based on improved genetic algorithm combined with secondary coding. This method is used to solve the problem that traditional genetic algorithm can not meet the resource scheduling problem in large-scale cloud computing environment under multi-user. In the selective replication phase, a dual fitness function based on minimum task completion time and matching degree is used to screen the populations by double criteria. Next, the cross-mutation probability of the algorithm is adaptively optimized, and its adaptive ability is further improved, which ensures that the algorithm converges to the optimal solution as soon as possible. Finally, the improved genetic algorithm (IGA) is analyzed on the CloudSim platform. It shows that the improved genetic algorithm can be well applied to large-scale resource scheduling, and the result is better than the comparison algorithm.
Design of Location Algorithm for Marine Drone Aircraft Maintenance Base Station
Authors: Xin Guipeng , Cheng Zhaoxi , Liu Jiexin
Published: August 2019

In recent years, unmanned aerial vehicle Cruise search and Rescue is a research hotspot at home and abroad. Water traffic accidents in recent years have been increasing, the traditional maritime patrol is usually based on boat cruise, this mode of maritime patrol not only means heavy task, and with poor inspection effect. So UAV-based maritime cruise and emergency search and rescue system is the subject of this research. The system based on the navigation and search and rescue of two unmanned aerial protection base station, using TDMA system network technology and Wireless bridge communication technology to set up a local area network, and target water site to establish a multi-objective model, optimize the design of supporting base station location algorithm,the system realizes the unmanned, visualized and normalized monitoring and management of target waters by means of coupling the UAV, Air-base station and control terminal, and provides more detailed and accurate information for the development of cruise search and rescue work.
A Comparative Study of Financial Big Data Standard System Based on Deep Learning Algorithms
Authors: Shen Huaxia
Published: August 2019

The standard system of financial big data involves a wide range of contents and diversification. Financial institutions in the process of operation and social sectors constitute a huge interweaving network, precipitating a large number of data. In this context, data security is particularly important. Therefore, based on the deep learning algorithm, the author compares and studies the financial big data standard system. The in-depth learning model is introduced into the financial market and combined with the traditional statistical model to forecast the volatility of the financial market and calculate its risk value. Through the research and comparative analysis of the domestic and international financial big data standard norm system, it is found that part of the domestic financial big data standard specification is revised by reference, while the other part has the characteristics of Chinese financial market. However, there is still room for further development in terms of financial big data regulation, information security, financial enterprise big data platform construction and analytical capabilities.
Edge Detection of Depth Image Based on Contour Curve
Authors: Wu Yuzhe
Published: August 2019

Edge is one of the most important features of an image because it recognizes the world through images and understands the position and contour of objects in images through edges. Edge monitoring of depth image is the basis of object recognition and location. The contour curve calculates the feature points and maps them to the original contour space. The original contour is matched by a sequence of markers. At the initial stage of recognition, the dissimilar targets and different gestures are eliminated quickly. The candidate list of targets is generated for accurate matching to improve the recognition efficiency. The curve is a nonlinear extension of the first principal component, emphasizing the search for the “middle” through the distribution of data, starting from an arbitrary point of the image, estimating the pixel points near the point and obtaining the gradient value. If the point satisfies the characteristics of the edge point, then the point detour depth traverses to find edge points that are perpendicular to the direction of the gradient and marks the visited points. And satisfy the self-consistent smooth curve without parameters, these curves give an overview of the data. Determine the degree of approximation; when the judgment has converged to the target contour, continue to converge and penetrate the concave area of the target contour.
Design of Data Acquisition System Based on LPC2368 and PoE+ Technology
Authors: Liu Kai , Wang Xinghai , Zhang Jie
Published: August 2019

In order to overcome the cumbersome connection in the traditional data acquisition system and the additional design of the power supply system, this paper proposes and designs a large-scale distributed data acquisition and power supply system based on LPC2368 and POE technology. The data processing subsystem of the system is based on LPC2368 as the core microprocessor; the chip supports a variety of serial protocol interfaces and is widely used in the development of IoT terminals; in view of the particularity of data transmission, this paper designs a stable and reliable communication handshake protocol between the host computer and the terminal; the power subsystem adopts the PoE+ power supply mode. The network cable realizes the power supply to the data collection node. The advantage of this method is that it can realize functions such as remote power management and remote working state switch. After actual verification, the data acquisition system designed in this paper runs stably and can meet the actual engineering requirements of distributed data collection and complicated power supply requirements.
Explicit multi-time step computing method in the form of non-integer step ratio
Authors: Ma Zhiqiang , Lou Yunfeng , Jin Xianlong
Published: August 2019

Due to the requirement of stability, the time step in explicit dynamics must be small enough. This inevitably leads to a waste of computing time to adopt a unified time step for dynamics models with partial refined mesh. Multi-time step or subcycling method especially the integer step ratio is a classical method to deal with these problems. An explicit non-integer ratio multi-time step computing method is proposed in this paper. The finite element model is divided into different subdomains by node partition and the coupling region is formed by multiple overlapping boundary nodes according to the step ratio between adjacent subdomains. Each subdomain chooses explicit integration time step according to mesh characteristics. Non-integer step ratio is used among adjacent subdomains. The method provides a new implement for explicit finite element analysis.
Research and Design of Intelligent Management Platform for Ship Oil Spill Emergency Equipment Depots Based on Internet of Things
Authors: Liu Siyu , Nan Xia , Li Sihan , Tao Jinpeng , Zhou Chunhui , Wen Yuanqiao
Published: August 2019

Due to the low efficiency, informatization and decision-making ability of the traditional ship oil spill emergency equipment depots, an intelligent management platform for ship oil spill emergency equipment depots based on the Internet of things technology is proposed. The paper designs an intelligent management platform for the ship oil spill emergency equipment depots, which adopts the idea of modular design, constructs from the aspects of framework structure, platform function, and technical route. The platform could realize intelligent dynamic tracking and management of the entire process of equipment entering, storing, using, maintaining, and exiting the depots, which can greatly improve the level of informatization of equipment depots, the management efficiency of ship oil spill emergency equipment depots, the accuracy and speed of equipment operations and emergency response capabilities.
Numerical Analysis on Shale Crack Model under Explosive Loading
Authors: Peng Y , Liu X L
Published: August 2019

High Energy Gas Fracturing (HEGF) technology can produce self-supporting crack network in rocks of oil and gas reservoirs under a large number of high temperature and high pressure explosive shock wave caused by explosive detonation. It is expected that the reservoir conductivity will be improved by generating the new crack channels for oil and gas flow, so as to achieve the goal of increasing oil and gas production. However, the numerical study on the crack initiation, extension and propagation of rock under blast loading is still insufficient, which plays a vital role in better understanding the mechanical performance of rocks in the HEGF process. In the present study, taking the typical shale gas demonstration area in Sichuan province as an example, the shale crack model is established, the mechanical properties of shale rock with cracks under explosive loading are studied, the evolution laws of crack propagation are analyzed, and the damage characteristics of crack tip are considered.
Construction and Application of Prediction Model of Diabetes Treatment Effect Based on Improved CART Algorithm
Authors: Qiao Yuchen , Yang Xu , Wu Enhong
Published: August 2019

In this research, the rehospitalisation of diabetic patients was taken as the standard to judge the treatment effect. With the help of CART algorithm improved on the basis of Principal Component Analysis, the researcher explored the relationship between multiple data involved in the diabetic treatment program and its treatment effect and built a prediction model of diabetic treatment effect. The study focused on the treatment data from 130 American hospitals. 9000 sets of data were used as the training set, and 1000 sets of data were used as the test set to generate the decision tree, and then the researcher pruned the generated decision tree. The accuracy of the newly established prediction model was greatly improved by 21% and the running time was largely reduced by 5.352s compared with the old model established on the unimproved CART algorithm. The results of the study well verified the feasibility and high efficiency of the new prediction model established on the improved CART algorithm, and provided a new idea for improving the treatment effect and efficiency of diabetes.
DSP Technology and Its Application in Fuze Signal Processing
Authors: Niu Weimeng , Fang Liqing , Guo Deqing
Published: August 2019

The continuous innovation of the embedded digital signal processor (DSP) brings new opportunities for the breakthrough of fuze technology, so that the weapon system can complete the detection battlefield, precise control, high-efficiency damage without changing the existing shape and volume of the fuze. This paper first introduces the advantages and characteristics of DSP chips, then summarizes the application of DSP in a variety of fuze signal processing. Finally, the development direction and application trend of DSP in fuze are prospected.
Combining Box Counting-dimension with a Fuzzy Synthetic Evaluation Model Based Quantitative Evaluation on Soil and Water Erosion of Lake Dianchi Basin, China
Authors: Li Jian , Zhang Xia , Liu Xiang , Wang Xiaojing , Wang YuXiang , Zhang Zheng
Published: August 2019

Considering the various influencing factors of soil and water erosion in Lake Dianchi Basin, evaluation indices of soil and water erosion involving the fractal dimension of drainage network, the fractal dimension of terrain, elevation and slope are determined. The weight values of evaluation indices are given and the fuzzy synthetic evaluation model is established on the basis of the fuzzy mathematics and information diffusion principles. As a case study, the fuzzy synthetic evaluation model is applied to quantitatively evaluate soil and water erosion of Lake Dianchi Basin. The results show that the grade of soil and water erosion is at the secondary level and the indicator value of comprehensive evaluation indicator of soil and water erosion is 1.45 in Lake Dianchi Basin. The assessment results are in good agreement with the results of previous studies. The result indicates that the method is valid and evaluation system established is reasonable, and the fuzzy synthetic evaluation model can be regarded as a reference model for the quantitative evaluation of soil and water erosion.
Coding Style of C Program from the Perspective of Software Engineering
Authors: Yu Jiujiu , Zhang Jishan , Wu Ning , Zheng Chun , Zhang Deqing
Published: August 2019

Coding style is an important factor in measuring the program quality. The paper explores on the C program coding style of the program annotation writing, data declaration, program statement writing, and input/output design style from the perspective of software engineering. Good coding style plays an important role in improving the readability, testability and maintainability of the program.
Visual Loop Closure Detection Based on Stacked Convolutional and Autoencoder Neural Networks
Authors: Wang Fei , Ruan Xiaogang , Huang Jing
Published: August 2019

Simultaneous localization and mapping is the basis for solving the problem of robotic autonomous movement. Loop closure detection is vital for visual simultaneous localization and mapping. Correct detection of closed loops can effectively reduce the accumulation error of the robot poses, which plays an important role in building a globally consistent environment map. Traditional loop closure detection adopts the method of extracting handcrafted image features, which are sensitive to dynamic environments and are poor in robustness. In this paper, a method called stacked convolutional and autoencoder neural networks is proposed to automatically extract image features and perform dimensionality reduction processing. These features have multiple invariances in image transformation. Therefore, this method is robust to environmental changes. Experiments on public datasets show that the proposed method is superior to traditional methods in terms of accuracy, recall, and average accuracy, thereby validating the effectiveness of the proposed method.
Fault value analysis of on board ATP system using big data
Authors: Tao Shen , Hongliang Geng
Published: August 2019

RFM module is widely used for the classification of customer value. The classification results based on big data are often used as portrait of customer loyalty and customer value evaluation. In this paper, RFM model is introduced innovatively to analyse the fault of on board ATP (Automatic Train Protection) system. Through the fault value classification, it can effectively predict the impact of a certain type of fault on operation. For one thing, the operation departments and equipment providers can pre-process the corresponding failures according to the evaluation results, so as to reduce operational losses. For another thing, it can be used as the basis for dealing with big data of ATP faults.