[신간의 별자리x] 우리/미술, 그리고 ‘슬픔의 박물관’

Data Mining Practical Machine Learning Tools and Techniques

From the Publisher: 
The accessible presentation of this book gives both a general view of the entire computer vision enterprise and also offers sufficient detail to be able to build useful applications. Users learn techniques that have proven to be useful by first-hand experience and a wide range of mathematical methods. A CD-ROM with every copy of the text contains source code for programming practice, color images, and illustrative movies. Comprehensive and up-to-date, this book includes essential topics that either reflect practical significance or are of theoretical importance. Topics are discussed in substantial and increasing depth. Application surveys describe numerous important application areas such as image based rendering and digital libraries. Many important algorithms broken down and illustrated in pseudo code. Appropriate for use by engineers as a comprehensive reference to the computer vision enterprise.

Computer vision : a modern approach = 计算机视觉 : 一种现代的方法

비만아 부모의 돌봄 경험: q 방법론

Executive Summary Introduction Methodology Used to Prepare the Guideline Epidemiology Incidence Etiology Major Epidemiologic Points Pathogenesis Major Points for Pathogenesis Modifiable Risk Factors Intubation and Mechanical Ventilation Aspiration, Body Position, and Enteral Feeding Modulation of Colonization: Oral Antiseptics and Antibiotics Stress Bleeding Prophylaxis, Transfusion, and Glucose Control Major Points and Recommendations for Modifiable Risk Factors Diagnostic Testing Major Points and Recommendations for Diagnosis Diagnostic Strategies and Approaches Clinical Strategy Bacteriologic Strategy Recommended Diagnostic Strategy Major Points and Recommendations for Comparing Diagnostic Strategies Antibiotic Treatment of Hospital-acquired Pneumonia General Approach Initial Empiric Antibiotic Therapy Appropriate Antibiotic Selection and Adequate Dosing Local Instillation and Aerosolized Antibiotics Combination versus Monotherapy Duration of Therapy Major Points and Recommendations for Optimal Antibiotic Therapy Specific Antibiotic Regimens Antibiotic Heterogeneity and Antibiotic Cycling Response to Therapy Modification of Empiric Antibiotic Regimens Defining the Normal Pattern of Resolution Reasons for Deterioration or Nonresolution Evaluation of the Nonresponding Patient Major Points and Recommendations for Assessing Response to Therapy Suggested Performance Indicators

Guidelines for the management of adults with hospital-acquired, ventilator-associated, and healthcare-associated pneumonia the official statement of the American Thoracic Society and the Infectious Disease Society of America (特集 救急診療ガイドライン) -- (海外のガイドライン)

This study demonstrates analysis of an advanced technique that enhances performance of facial expression recognition method. Face preprocessing is conducted by face cropping. These cropped faces are rescaled by using bilinear interpolation. Multi-scale wavelet is used for extraction of facial patterns. Extracted features are down-sampled using principal component analysis (PCA) to reduce execution time as well as misclassification. The approach reduced the image dimensions and preserved the perceptual quality of the original images. Downsampled features are classified using multiclass support vector machine (SVM) that has a one versus all architecture. This system is trained with benchmark JAFFE and CK+ facial expression datasets. Performance of wavelet is compared with other existing frequency domain techniques and wavelets are found better in terms of recognition rate.

Biometric Recognition of Emotions Using Wavelets

Most existing realizations of quantum key distribution (QKD) are point-to-point systems with one source transferring to only one destination. Growth of these single-receiver systems has now achieved a reasonably sophisticated point. However, many communication systems operate in a point-to-multi-point (Multicast) configuration rather than in point-to-point mode, so it is crucial to demonstrate compatibility with this type of network in order to maximize the application range for QKD. The researchers have proposed several approaches for Quantum Key Distribution Network. In this chapter we will discuss these various architectures.

Different Architectures of Quantum Key Distribution Network

This chapter presents the possibilities of applying the triangulation method in the biometric identification process. The chapter includes a method in field of computational geometry (specifically polygon triangulation) in combination with face recognition techniques. The chapter describes some authentication techniques with an emphasis on face recognition technologies and polygon triangulation as a fundamental algorithm in computational geometry and graphics. The proposed method is based on generating one’s own key (faceprint), where everyone has a potential key in a 3D view of their characteristic facial lines; therefore, everybody is the carrier of his/her own unique key that is generated from a triangulation of the scanned polygon. The proposed method could find application exactly in biometric authentication. This is a pretty interesting possibility of authenticating users because there is no possibility of stealing the key (as is the case with the approaches: “something you know” and “something you have”). By introducing this procedure of determining the authentication of users, unauthorized access to computers, mobile devices, physical locations, networks, or databases is made difficult. In experimental research, the authors present concrete possibilities of applying the polygon triangulation in the biometric identification process. The authors tested a proposed solution using the appropriate two sets of data. The results show that using the triangulation method in combination with the face recognition technique, the success rate of authentication is achieved equally well as recognition with the application of some other methods.

Possibilities of Applying the Triangulation Method in the Biometric Identification Process

With rapid growth of multimedia applications, secure image transmission over Wireless Sensor Network (WSN) is a challenging task. So, image encryption techniques are used to meet the demand for real-time image security over wireless networks. In the proposed research, the security of Digital Images (DI) in wireless sensor network is enhanced using Light Weight Ciphers (LWC) which encrypts the input image through encryption process. To improve DI privacy and confidentiality, an innovative security model is proposed i.e. Lightweight SIMON block cipher. The proposed LWC encrypted the image along with optimal key selection and enhanced the image security level in the cloud. For key optimization, a meta-heuristic algorithm called Opposition-based Particle Swarm Optimization (OPSO) algorithm was presented. The proposed SIMON-OPSO achieved the minimum time in generating key value to decrypt the image. The simulation result demonstrated that the SIMON-OPSO algorithm improves the accuracy of DI security for all input images (Lena, Barbara, Baboon, and House) compared to existing algorithms.

An Optimal Light Weight Cryptography—SIMON Block Cipher for Secure Image Transmission in Wireless Sensor Networks

Wavelet transforms have become an important mathematical tool that has been widely explored for visual information processing. The wide range of wavelet transforms and their multiresolution analysis facilitate to solve complex problems ranging from simple to complex image and vision based problems. The present chapter aims to provide an overview of existing wavelet transforms ranging from classical to new generation wavelets. This chapter discusses the basics of the discrete wavelet transform (DWT) followed by new generation wavelet transforms and highlights their useful characteristics. Other than DWT, the present chapter provides a brief review on dual tree complex wavelet transform (DTCWT), curvelet transform (CVT), contourlet transform (CT), contourlet transform (CNT), nonsubsampled contourlet transform (NSCT) to provide fundamentals and understanding of the wavelet transforms.

Mohamed Elhoseny

Papers

Biometric Recognition of Emotions Using Wavelets

Different Architectures of Quantum Key Distribution Network

Possibilities of Applying the Triangulation Method in the Biometric Identification Process

An Optimal Light Weight Cryptography—SIMON Block Cipher for Secure Image Transmission in Wireless Sensor Networks

Wavelet Transforms: From Classical to New Generation Wavelets