[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)

In this chapter, a generalized architecture of quantum secure direct communication for N disjoint users with partial and full cooperation of quantum server is proposed. So, \( N - 1 \) disjointed users \( u_{1},\, u_{2},\, \ldots,\, u_{N - 1} \) can transmit a secret message of classical bits to a remote user \( u_{N} \) by utilizing the property of dense coding and Pauli unitary transformations. The authentication process between the quantum server and users validated by \( EPR \) entangled pair and \( CNOT \) gate. Afterward, the remaining \( EPR \) will be intended for generating shared \( GHZ \) states which used for directly transmitting the secret message. The partial cooperation process involved that \( N - 1 \) users can transmit a secret message directly to a remote user \( u_{N} \) through quantum channel. Furthermore, \( N - 1 \) users and a remote user \( u_{N} \) can communicate without an established quantum channel among them by full cooperation process. The security analysis of authentication and communication processes against many types of attacks proved that the attacker can’t gain any information during intercepting either authentication or communication processes. Hence, the security of transmitted message among \( N \) users is ensured as the attacker introducing an error probability irrespective of the sequence of measurement.

Multi-parties Quantum Secure Direct Communication with Authentication

To avoid the complexity and time consumption of traditional statistical and mathematical programming, intelligent techniques have gained great attention in diﬀerent ﬁnancial research areas, especially in banking decisions’ optimization. However, choosing optimum bank lending decisions that maximize the bank proﬁt in a credit crunch environment is still a big challenge. For that, this paper proposes an intelligent model based on the Genetic Algorithm (GA) to organize bank lending decisions in a highly competitive environment with a credit crunch constraint (GAMCC). GAMCC provides a framework to optimize bank objectives when constructing the loan portfolio, by maximizing the bank proﬁt and minimizing the probability of bank default in a search for a dynamic lending decision. Compared to the state-of-the art methods, GAMCC is considered a better intelligent tool that enables banks to reduce the loan screening time by a range of 12% to 50%. Moreover, it greatly increases the bank proﬁt by a range of 3.9% to 8.1%.

Genetic Algorithm Based Model For Optimizing Bank Lending Decisions

Artificial intelligence (AI) is a widespread branch of computer science focused on the development of smart machines, which can perform processes that generally require human information. AI is a multidisciplinary field that finds its applicability in several domains ranging from smart homes, smart buildings, intelligent transportation, healthcare, military to commercial products. The design of AI technique in a smart society, in which the analysis of human habits is obligatory, requires automated data scheduling and analysis using smart applications, a smart infrastructure, smart systems, and a smart network. To identify the possible application areas of AI in smart society, this chapter discusses different AI techniques employed for diverse applications in smart societies. The study mainly focused on the brief discussion of AI applications in urban computing, sustainability, healthcare, security, and justice. In addition, a general explanation of the issues that exist in AI-based applications for smart societies has been discussed. At the end o f the chapter, a brief overview of AI concepts and its applicability in diverse possible domains is given.

Artificial Intelligence Applications for Smart Societies

In this chapter, securing the transmitted multicast information can be achieved through IPsec multicast architecture. The process of IPsec involves the sender and destinations to agree on IPsec keys. These keys are used for protection transmitted information among communicated peers over IPsec network. IPsec depends on classical algorithm for key generation and distribution. These algorithms proved their conditional security which means intruder can break the algorithm and intercept the communication process. A new IPsec multicast architecture is proposed. The proposed architecture is divided into five main processes. The most important process is key generation and distribution. The key generation and distribution through IPsec multicast network is achieved using quantum algorithms. Quantum keys proved their unconditional security according to their physical characteristics. Sender and receivers communicate through two channels; quantum and classical. Encryption and decryption processes depend on agreed quantum keys and classical cryptographic algorithms. IPsec depends on quantum key distribution for creating keys for IPsec security associations. The confidentiality and authentication of the proposed architecture is analyzed.

IPsec Multicast Architecture Based on Quantum Key Distribution, Quantum Secret Sharing and Measurement

Fusion of multisensor images has shown a potential application in various application domains such as security, medical imaging etc. The recent developments in medical imaging sensors have been a great motivation for fusion due to their complementary nature. This chapter aims to address medical image fusion in complex wavelet domain and provides a detailed study of fusion methods. The wavelet transforms based fusion methods are ahead of other methods in terms of signal representation, complementary information and redundancy. These properties make wavelet transforms suitable for multisensory image fusion. The fusion experiments have been demonstrated over several sets of medical images for different fusion rules in complex wavelet domain. Visual and quantitative evaluation of the proposed fusion results with state-of-the-art fusion methods showed the effectiveness and goodness of the complex wavelet transform based fusion methods.

Mohamed Elhoseny

Papers

Multi-parties Quantum Secure Direct Communication with Authentication

Genetic Algorithm Based Model For Optimizing Bank Lending Decisions

Artificial Intelligence Applications for Smart Societies

IPsec Multicast Architecture Based on Quantum Key Distribution, Quantum Secret Sharing and Measurement

An Overview of Medical Image Fusion in Complex Wavelet Domain