Intelligent Classification Method of Low Occupancy Big Data Based on Grid Index

In order to enhance the load balance in the big data storage process and improve the storage efficiency, an intelligent classification method of low occupancy big data based on grid index is studied. A low occupancy big data classification platform was built, the infrastructure layer was designed using grid technology, grid basic services were provided through grid system management nodes and grid public service nodes, and grid application services were provided using local resource servers and enterprise grid application services. Based on each server node in the infrastructure layer, the basic management layer provides load forecasting, image backup, and other functional services. The application interface layer includes the interfaces required for the connection between the platform and each server node, and the advanced access layer provides the human-computer interaction interface for the operation of the platform. Finally, based on the obtained main structure, the depth confidence network is constructed by stacking several RBM layers, the new samples are expanded by adding adjacent values to obtain the mean value, and the depth confidence network is used to classify them. The experimental results show that the load of different virtual machines in the low occupancy big data storage process is less than 40%, and the load of each virtual machine is basically the same, indicating that this method can enhance the load balance in the data storage process and improve the storage efficiency.

A Precise TIN Clipping Algorithm for Digital Mining Design of the Open-pit Coal Mine

TIN clipping algorithm is one of the basic algorithms for digital mining design of open-pit coal mine based on TIN model. In this paper, a precise TIN clipping algorithm for digital mining design of open-pit coal mine is proposed. Based on the constructed grid index of the clipped TIN and the clipping polygon, the clipping polygon is embedded into the clipped TIN by interpolating the vertex elevation of the clipping polygon and calculating its intersections with the clipped TIN. Then, according to the reconstructed topology of the TIN triangles located inside (outside) the clipping polygon, generate the boundary of those two triangles set, and construct the TIN between the boundaries using the one-time edge-prior CDT growth algorithm, thus , achieve the precise TIN clipping keeping the clipped TIN’s local detail features. The experiment results show that the algorithm proposed in this paper is efficient, stable in performance, and it has been applied to the digital mining design of the open-pit coal mine.

Parallel Insertion and Indexing Method for Large Amount of Spatiotemporal Data Using Dynamic Multilevel Grid Technique

In this paper, we propose a method to ingest big spatiotemporal data using a parallel technique in a cluster environment. The proposed method includes an indexing method for effective retrieval in addition to the parallel ingestion method of spatiotemporal data. In this paper, a dynamic multilevel grid index scheme is proposed to maximize parallelism and to adapt to the skewed spatiotemporal data. Finally, through experiments in a cluster environment, it is shown that the ingestion and query throughput increase as the number of nodes increases.

POLA TATA RUANG PERUMAHAN DAN PERKEMBANGANNYA DITINJAU DARI KEARIFAN LOKAL DESA CIKOANG

Desa adat merupakan sebuah permukiman tradisional yang memiliki tradisi yang masih dipertahankan sampai saat ini seperti Maudu Lompoa, yang dilakukan setahun sekali dan dijadikan sebagai wisata budaya di Sulawesi Selatan. Hal tersebut mendorong pertumbuhan permukiman di sekitar ruang kegiatan budaya yang dapat menurunkan daya dukung kawasan perumahan. Oleh sebab itu, perlu mengidentifikasi karakteristik fisik pola tata ruang perumahan dan perkembangannya ditinjau dari kearifan lokal. Adapun teknik pengumpulan data dengan cara observasi, wawancara, dokumentasi, studi pustaka, penyebaran kuesioner dan pendataan instansional. Metode yang digunakan adalah analisis deskriptif kualitatif, komparatif, spasial dan grid index. Hasil penelitian menunjukkan perkembangan perumahan mengikuti ruang yang tersedia di sekitar ruang kegiatan budaya. Pemakaian ruang kegiatan budaya yang tetap. Pola perumahan terikat dengan ruang kegiatan budaya.