Study on the Universal Tapered Segmental Ring Assembly Simulation Algorithm and Deviation Assessment: A Case Study on Metro Line Tunnel

Universal tapered segmental ring system has been adopted to assemble tangent and curve line elements into the shield tunnels through the relative rotation of the adjacent front and rear rings, which simplifies the formwork design, demonstrates strong universality, and is easy for quality assurance. To evaluate the position deviation caused by the taper value and propose the assembly scheme for the contractor, this article developed the universal tapered segmental ring assembly simulation technology. Firstly, the assembly procedure of the universal tapered segmental ring system both in normal case and in special case is introduced, including the interval tunnel of special rings and actual engineering that needs deviation correction. Secondly, relevant core algorithms are introduced in detail, including the coordinate position algorithm of horizontal and vertical curves and computer graphic algorithm of spatial point rotating around any axis. Finally, this article takes a background metro line tunnel as a case to validate the algorithm and illustrate the assessment methodology of universal tapered segmental ring assembly accuracy. The sections with maximum deviation are found as an alert ahead of the shield advancing. In conclusion, the algorithms and methodology proposed in this article illustrate the excellent suitability and robustness in shield tunnels adopting a universal tapered segmental ring system in the stage of both design and construction.

Vector Map Encryption Algorithm Based on Double Random Position Permutation Strategy

Encryption of vector maps, used for copyright protection, is of importance in the community of geographic information sciences. However, some studies adopt one-to-one mapping to scramble vertices and permutate the coordinates one by one according to the coordinate position in a plain map. An attacker can easily obtain the key values by analyzing the relationship between the cipher vector map and the plain vector map, which will lead to the ineffectiveness of the scrambling operation. To solve the problem, a vector map encryption algorithm based on a double random position permutation strategy is proposed in this paper. First, the secret key sequence is generated using a four-dimensional quadratic autonomous hyperchaotic system. Then, all coordinates of the vector map are encrypted using the strategy of double random position permutation. Lastly, the encrypted coordinates are reorganized according to the vector map structure to obtain the cipher map. Experimental results show that: (1) one-to-one mapping between the plain vector map and cipher vector map is prevented from happening; (2) scrambling encryption between different map objects is achieved; (3) hackers cannot obtain the permutation key value by analyzing the pairs of the plain map and cipher map.

REAL TIME SEARCH OF AGRICULTURAL MACHINERY BASED ON MATRIX SEQUENCE SENSOR

Omni-directional vision sensor can provide information within the sensor range, and the directional angle of an object can be accurately obtained through omni-directional images. Based on this characteristic, an automatic navigation and positioning system for agricultural machinery is developed, and a three-dimensional positioning algorithm for agricultural wireless sensor networks based on cross particle swarm optimization is proposed. The method mainly includes three stages: convergence node selection, measurement distance correction and node location. Using the idea of crossover operation of genetic algorithm for reference, the diversity of particles is increased, and the influence of ranging error and the number of anchor nodes on positioning results is effectively improved. The location algorithm has the ability of global search. On the positioning node, the symmetric bidirectional ranging algorithm based on LFM (Linear frequency modulation) spread spectrum technology is used to calculate the distance between the positioning node and each beacon node, and the trilateral centroid positioning algorithm is used to calculate the coordinate position information of unknown nodes. Finally, the Kalman filter algorithm is used to superimpose the observed values of the target state to solve the influence of measurement noise on the positioning accuracy.

KESALAHAN POSISI (DISPLACEMENT) DATA HASIL PENGUKURAN ALAT GPS GARMIN 78s TERHADAP DATA PENGUKURAN ALAT TOTAL STATION PADA TITIK - ITIK TOWER SUTT 150 KV AMUNTAI - TAMIANG LAYANG

The government has committed to build a power plant of 35,000 Megawatts (MW) in stages by providing infrastructure in the form of transmission, substations and generating sources. One of the transmissions that can function to distribute from the generator source to the load centers is the 150 kV High Voltage Air Line (SUTT) transmission. The purpose of this study was to analyze the Displacement generated by the Garmin 78s GPS Tool against the Total Station Measurement Data. SUTT 150 kV Amuntai - Tamiang Layang consists of 120 tower points along the transmission line and tower points using Garmin 78s GPS to determine the position of the Total Station data. Position errors in the search for tower points can occur, so the analysis method uses descriptive statistics to find out the real position error on the average of the two coordinate points using Total Station and Garmin 78s GPS. Total Station is a tool used to project tower points. Based on the results of the study, the coordinate position error generated from the 120 tower points is 427.57 meters and the average calibration error is 0.23 (23%) on a weighted average of 3.56 meters.Keywords: displacement; total station; GPS Garmin 78s.

Research and design of LED indoor positioning system

According to indoor positioning requirements, the light intensity sensing circuit is designed with LED as the light source. The function relationship between light intensity and distance is obtained by fitting the experimental data. The distance from the light source to the node to be located is calculated. The coordinate position of the node to be measured on the two-dimensional plane is obtained through the trilateral measurement and positioning algorithm. The experimental results of this system show that the absolute position error is less than 10cm, which can meet the needs of a large number of indoor positioning applications.

A Novel Approach towards Link Stability in MANET’s Using Coordinate Position

Advances in remote innovation and hand-held processing systems have acquired transformation in mobile communication’s area. The expanding mobility of people over the globe created interest for infrastructureless and rapidly deployable portable systems. Such systems are alluded to as Mobile Adhoc Networks (MANET). Generally, nodes in MANETs additionally work as a router while they are allowed to roam while transmitting with each other. This paper gives a proposal approach towards the coordinate based link stability and the same is shown with the help of proposed flowchart.

Geovisual Analytics of Spatio-Temporal Earthquake Data in Indonesia

Indonesia is one of the nations located in the Ring of Fire. Indonesia has a high level of geodynamic activities so that it's often earthquake tectonics. The earthquakes are caused by Indonesia position located in the confluence of four main plates. At present, the history of earthquake data in Indonesia has been accessible by the public. However, general visualization which can present history earthquake in the form maps and summary statistics have not been available. Therefore, this research aims to visualize the history of earthquake data interactively combining spatial data and temporal data. The data used for this research was obtained from BMKG website. The data variables used in this research include CORS stations and history of earthquake phenomenons between 2004 and 2019. The earthquake phenomenon consists of occurrence time, coordinate position, depth and magnitude. The data are processed using Ms Excel and ArcGIS Online Map then are visualized by Web AppBuilder for ArcGIS. The results of the data processing are maps presented in a dashboard with time-series animation and widgets features. We performed maps, graphics and time-series animation as interactive visual interfaces and matched the tasks to visual analytics techniques that are capable to support them. In this paper, we introduce the relationship between variables and present the visual analytics techniques using several example scenarios of Spatio-temporal earthquake data.

Application of A* (A Star) Algorithm on Automation of Trash Can

The industrial revolution 4.0 demands the convenience of a human life facility. Not to forget also in the cleaning service. When we will dispose of trash, we do not need to look for the trash can, it is precisely the trash can that will approach us. This smartphone-based application uses the A * (A star) algorithm as the basis for its work, while for communication between smartphones with the trash can system using blue tooth. The smartphone sends its coordinate position through the Global Positioning System facility, then the trash can system will search for the sender's location. The experimental results show that the average stopping distance indoors without barrier is 7.03 meters with an average time response of 25.3 seconds, the average stopping distance in the room with a barrier of 7.2 meters with the average response time 3.6 seconds average, stopping distance outdoor without a barrier of 5.7 meters with an average response time of 258.3 seconds, and the average outdoor stopping distance with a barrier of 2.73 meters with a response an average time of 141.3 seconds.

SEGMENTASI CITRA THORAX PARU-PARU MANUSIA DARI SINAR-X MENGGUNAKAN METODE KONTUR AKTIF

Research on medical image objects in the form of lung images of thoracic X-Rayis increasingly being developed because the information contained in medical images is used to analyze and determine the shape of the lungs. The process of normalization and image improvement is needed and continued with the segmentation process using the right method. The active snake contour method is used because it is resistant to the noise around the object. The research has been usedthe Matlab software GUI program version R2015a. The image through the initial preprocessing stage is converted into a grayscale image. The segmentation process used after the initialization process in the form of a small circle curve placed of the object to be segmented and the determination position of the active contour or detemination of the active parameters of the contour. Determination of the value active contour parameters greatly influences the results of segmentation and influences the direction of active contour movement. If the active coordinate position of the contour is outside the area to be segmented it will cause active contours to move away from the object. Validation the level of accuracy of segmentation results is done by comparing the results of the snake active contour segmentation to the results of manual segmentationused MSE method

ABOUT THE FUNDAMENTAL ASPECTS OF THE GENETIC APPROACH TO THE STUDY OF SOILS

The fundamental methodological and philosophical aspects of the genetic approach to the study of soil formation, the genesis of the composition, structure, state and properties, as well as the role of the spatial position of soils in the array and the role of anthropogenic impacts on soil massifs, including the formation of improved and degraded soils, are considered. In the genetic approach to the study of soils, which became the methodological basis of soil science, is that the composition, structure, condition and properties of soils are considered as the result of their genesis and subsequent postgenetic transformations at the stage of diagenesis, catagenesis, metamorphism and hypergenesis. The distinction of concepts of “soil genesis”, “genesis of soil composition”, “genesis of soil structure”, “genesis of soil condition” and “genesis of soil properties” is shown. When characterizing these concepts, it is necessary to take into account the syngenetic, epi-syngenetic, syn-epigenetic and epigenetic features of soils. In accordance with this, the composition, structure, condition, and properties of soils may be of four classes according to their origin: syngenetic, epi-syngenetic, syn-epigenetic, or epigenetic. The genetic approach plays a particularly important role in the study of anthropogenically-formed and man-made altered soils, as well as in the construction of new genetic classifications of natural and man-made soils. The genetic approach to the study of soils follows from the Priklonsky-SergeevLomtadze law: the composition, structure, condition and properties of soils are determined by their genesis, the nature of postgenetic processes and the modern spatial (coordinate) position. This fundamental approach should underlie the development of new general classifications of soils, which is especially important now, when work is underway to prepare the new GOST 25100 “Soils. General classification”.