DIMENSION REDUCTION FOR POWER SYSTEM MODELING USING PCA METHODS CONSIDERING INCOMPLETE DATA READINGS

Principal Component Analysis (PCA) is a popular method for dimension reduction that can be used in many fields including data compression, image processing, exploratory data analysis, etc. However, traditional PCA method has several drawbacks, since the traditional PCA method is not efficient for dealing with high dimensional data and cannot be effectively applied to compute accurate enough principal components when handling relatively large portion of missing data. In this report, we propose to use EM-PCA method for dimension reduction of power system measurement with missing data, and provide a comparative study of traditional PCA and EM-PCA methods. Our extensive experimental results show that EM-PCA method is more effective and more accurate for dimension reduction of power system measurement data than traditional PCA method when dealing with large portion of missing data set

Object-based Urban Building Footprint Extraction and 3D Building Reconstruction from Airborne LiDAR Data

Buildings play an essential role in urban intra-construction, urban planning, climate studies and disaster management. The precise knowledge of buildings not only serves as a primary source for interpreting complex urban characteristics, but also provides decision makers with more realistic and multidimensional scenarios for urban management. In this thesis, the 2D extraction and 3D reconstruction methods are proposed to map and visualize urban buildings. Chapter 2 presents an object-based method for extraction of building footprints using LiDAR derived NDTI (Normalized Difference Tree Index) and intensity data. The overall accuracy of 94.0% and commission error of 6.3% in building extraction is achieved with the Kappa of 0.84. Chapter 3 presents a GIS-based 3D building reconstruction method. The results indicate that the method is effective for generating 3D building models. The 91.4% completeness of roof plane identification is achieved, and the overall accuracy of the flat and pitched roof plane classification is 88.81%, with the user’s accuracy of the flat roof plane 97.75% and pitched roof plane 100%

The interactions of cisplatin and model proteins studied by electrospray ionization mass spectrometry and tandem mass spectrometry

Protein-cisplatin interactions lie at the heart of both the effectiveness of cisplatin as an anticancer drug and side effects associated with cisplatin treatment. A greater understanding of the protein-cisplatin interactions at the molecular level can not only improve our understanding of the action of cisplatin as an anticancer drug but also inform the design of cisplatin-like agents for future use. Therefore, the interactions of cisplatin with three different model proteins were studied, which may provide theoretical basis for predicating mechanistically relevant protein-cisplatin interactions in biological fluids.;Cytochrome c (cyt c) was used as a model protein to develop a mass spectrometric approach to determine the primary binding site of cisplatin on proteins by coupling Fourier transform mass spectrometry (FT-MS) and tandem mass spectrometry (MS/MS and MS3). FT-MS permits identification of unique fragments in the adduct digest, characterized by MS/MS and MS3 to indicate that Met65 is the primary binding site for cisplatin on cyt c.;The interactions of cisplatin and transplatin with myoglobin (Mb) were compared in order to gain insights into similarities and differences between cisplatin and transplatin in their interactions with globular proteins. Prior to this research, the conditions for Mb denaturation were optimized to obtain the Mb digests for MS/MS and MS3.;Cisplatin and transplatin exhibit similar interactions with Mb. Monoadducts and diadducts were the primary adducts observed in both the interactions. MS/MS and MS3 analyses of the observed unique fragments in the digests of both the Mb-cisplatin and Mb-transplatin adducts indicate a common binding site for cisplatin and transplatin on the His116-His119 residues of Mb. This result coupled with a study of the interactions of cisplatin and transplatin with a dipeptide His∼Ser and the three dimensional (3-D) structure of native Mb shows that cisplatin and transplatin coordinate to the His116 and His119 residues on Mb.;The binding sites of cisplatin on native ubiquitin (Ub) and denatured Ub were compared in order to investigate the effect of protein conformation on the cisplatin binding sites on a protein. Results suggest that cisplatin has more binding sites on the native Ub than on the denatured Ub due to conformation effect. Three cisplatin binding sites are determined on the native Ub, in which two threonines are the primary binding site of cisplatin. On the denatured Ub, the Met1 residue is the specific binding site of cisplatin

The Effect of Abusive Supervision on Job Performance: The Role of Leadership Identification and Subordinates’ Tradition

Drawing on the theory of social identity, this study investigated the effect of abusive Supervision on job performance intention through a moderate mediation model. The results indicated that: abuse supervision for job performance have significant negative effects, and this relationship is mediated by leadership identification; the mediation effect is further moderated by subordinates’ tradition. For subordinates with higher tradition, the mediating effect of abusive Supervision on job performance intention through leadership identification is much stronger

Measuring the similarity of PML documents with RFID-based sensors

The Electronic Product Code (EPC) Network is an important part of the Internet of Things. The Physical Mark-Up Language (PML) is to represent and de-scribe data related to objects in EPC Network. The PML documents of each component to exchange data in EPC Network system are XML documents based on PML Core schema. For managing theses huge amount of PML documents of tags captured by Radio frequency identification (RFID) readers, it is inevitable to develop the high-performance technol-ogy, such as filtering and integrating these tag data. So in this paper, we propose an approach for meas-uring the similarity of PML documents based on Bayesian Network of several sensors. With respect to the features of PML, while measuring the similarity, we firstly reduce the redundancy data except information of EPC. On the basis of this, the Bayesian Network model derived from the structure of the PML documents being compared is constructed.Comment: International Journal of Ad Hoc and Ubiquitous Computin