Detection Method of Data Integrity in Network Storage Based on Symmetrical Difference

In order to enhance the recall and the precision performance of data integrity detection, a method to detect the network storage data integrity based on symmetric difference was proposed. Through the complete automatic image annotation system, the crawler technology was used to capture the image and related text information. According to the automatic word segmentation, pos tagging and Chinese word segmentation, the feature analysis of text data was achieved. Based on the symmetrical difference algorithm and the background subtraction, the feature extraction of image data was realized. On the basis of data collection and feature extraction, the sentry data segment was introduced, and then the sentry data segment was randomly selected to detect the data integrity. Combined with the accountability scheme of data security of the trusted third party, the trusted third party was taken as the core. The online state judgment was made for each user operation. Meanwhile, credentials that cannot be denied by both parties were generated, and thus to prevent the verifier from providing false validation results. Experimental results prove that the proposed method has high precision rate, high recall rate, and strong reliability.

Autonomous Detection for Traffic Flow Parameters of a Vehicle-Mounted Sensing Device Based on Symmetrical Difference

Based on the research and analysis of traffic detectors, it is found that the existing vehicle detection equipment is generally vulnerable to environmental interference and the detection effect cannot meet the current traffic demand. Therefore, an automatic detection method of traffic flow parameters based on symmetrical difference was put forward. This method collects the traffic flow parameters through wireless sensor nodes. Since the safety transmission protocol of VANET (Vehicular Ad Hoc Networks) can maximize the safety channel capacity, it transmits the traffic flow parameters to the data acquisition and control equipment of the upper computer through the cross layer pre-balanced safety transmission protocol of VANET in the wireless communication unit. The data acquisition and control equipment of the upper computer uses the traffic flow detection method based on the symmetrical difference to obtain the details of the moving objects in the traffic flow so as to realize the independent detection of the traffic flow parameters of the vehicle-borne sensor equipment. Experimental results show that the designed method has anti-interference abilities for the noise and light changes. Meanwhile, this method can completely extract moving objects from the traffic flow and can improve the detection effect of the moving objects in the traffic flow. Thus, the effectiveness of the proposed method can be fully verified.

APLIKASI SISTEM INFORMASI GEOGRAFIS (SIG) UNTUK IDENTIFIKASI PERUBAHAN SEMPADAN SUNGAI MUSI DI KOTA PALEMBANG (1922 - 2012)

Sungai senantiasa mengalami perubahan dari segi ruang dan waktu, khususnya Sungai Musi di Kota Palembang yang memiliki peran strategis sebagai urban rivers mulai dari pemerintahan kolonial hingga saat ini. Salah satunya adalah perubahan sempadan sungai akibat erosi dan sedimentasi. Tujuan dari penelitian ini adalah untuk mengidentifikasi seberapa besar perubahan sempadan Sungai Musi dalam kurun waktu 90 tahun terakhir dan pemanfaatan lahan hasil sedimentasi sungai saat ini. Fokus penelitian ini adalah Sempadan Sungai Musi sepanjang 10,85 km dari panjang total 27,47 km Sungai Musi yang membelah Kota Palembang.Metode penelitian yang diterapkan adalah deskriptif kualitatif dengan penerapan teknologi Sistem Informasi Geografis (SIG). Data yang diolah berupa Peta Sejarah Kota Palembang Tahun 1922 dan Citra satelit Quickbird Tahun 2012 yang dianalisis dengan teknik overlay berupa symmetrical difference dan geoprocessing. Hasil dari penelitian ini menunjukkan bahwa tingkat sedimentasi di sempadan Sungai Musi sangat besar dibandingkan tingkat erosinya yaitu sebesar 93%. Kecamatan Gandus dan Kecamatan Seberang Ulu I memiliki wilayah tersedimentasi yang paling besar yaitu 31% dan 29% yang banyak dipengaruhi oleh aktifitas manusia. Sebaliknya, wilayah yang tererosi cukup besar adalah Kecamatan Kertapati sebesar 65% akibat pengaruh arus dari Sungai Kramasan. Hasil sedimentasi di sempadan Sungai Musi banyak dimanfaatkan menjadi lahan permukiman (47,4%), waduk/danau (22,3%), rawa (10,7%) dan 7 penggunaan lahan yang lain dengan kisaran 0,2-6,6%. Hasil akhir penelitian ini berupa peta perubahan sempadan sungai musi di kota Palembang. Hasil temuan penelitian ini, dapat dijadikan acuan penelitian selanjutnya dalam mengembangkan produk pembelajaran sebagai upaya mengenalkan perubahan Sungai Musi di Kota Palembang baik di sekolah maupun pada mata kuliah Sistem Informasi Geografis, Geologi, Geomorfologi, dan Hidrologi.

A Model of Bond-and-Band for the Behavior of Nitrides

A bond-and-band model is developed to incorporate the chemical bond and the energy band of nitrides. It is suggested that the symmetrical difference of the tetrahedral bond-structure and the similarity in the energy-band determine the performance of these compounds. The presence of bonding, nonbonding lone-pair and the lone-pair-induced antibonding features are of key importance to these materials. Well acclaimed by existing evidence, this model provided preliminary understanding of the physical properties of some nitrides and oxides and particularly, some insight into the origins of the N-enhanced magnetization, the blue-shift in nitride and oxide light emitting as well as the ultrahard and super elastic materials.