다중혈관 관상동맥 환자에서 y-문합을 이용하여 양쪽 내흉동맥만을 사용한 우회술의 조기 성적

Machine Learning is the study of methods for programming computers to learn. Computers are applied to a wide range of tasks, and for most of these it is relatively easy for programmers to design and implement the necessary software. However, there are many tasks for which this is difficult or impossible. These can be divided into four general categories. First, there are problems for which there exist no human experts. For example, in modern automated manufacturing facilities, there is a need to predict machine failures before they occur by analyzing sensor readings. Because the machines are new, there are no human experts who can be interviewed by a programmer to provide the knowledge necessary to build a computer system. A machine learning system can study recorded data and subsequent machine failures and learn prediction rules. Second, there are problems where human experts exist, but where they are unable to explain their expertise. This is the case in many perceptual tasks, such as speech recognition, hand-writing recognition, and natural language understanding. Virtually all humans exhibit expert-level abilities on these tasks, but none of them can describe the detailed steps that they follow as they perform them. Fortunately, humans can provide machines with examples of the inputs and correct outputs for these tasks, so machine learning algorithms can learn to map the inputs to the outputs. Third, there are problems where phenomena are changing rapidly. In finance, for example, people would like to predict the future behavior of the stock market, of consumer purchases, or of exchange rates. These behaviors change frequently, so that even if a programmer could construct a good predictive computer program, it would need to be rewritten frequently. A learning program can relieve the programmer of this burden by constantly modifying and tuning a set of learned prediction rules. Fourth, there are applications that need to be customized for each computer user separately. Consider, for example, a program to filter unwanted electronic mail messages. Different users will need different filters. It is unreasonable to expect each user to program his or her own rules, and it is infeasible to provide every user with a software engineer to keep the rules up-to-date. A machine learning system can learn which mail messages the user rejects and maintain the filtering rules automatically. Machine learning addresses many of the same research questions as the fields of statistics, data mining, and psychology, but with differences of emphasis. Statistics focuses on understanding the phenomena that have generated the data, often with the goal of testing different hypotheses about those phenomena. Data mining seeks to find patterns in the data that are understandable by people. Psychological studies of human learning aspire to understand the mechanisms underlying the various learning behaviors exhibited by people (concept learning, skill acquisition, strategy change, etc.).

Machine learning

[신간의 별자리x] 우리/미술, 그리고 ‘슬픔의 박물관’

An Introduction to MultiAgent Systems.

Let's read! We will often find out this sentence everywhere. When still being a kid, mom used to order us to always read, so did the teacher. Some books are fully read in a week and we need the obligation to support reading. What about now? Do you still love reading? Is reading only for you who have obligation? Absolutely not! We here offer you a new book enPDFd the perception of the visual world to read.

The Perception of the Visual World. By James J. Gibson. U.S.A.: Houghton Mifflin Company, 1950 (George Allen & Unwin, Ltd., London). Price 35s.

Multi-objective optimization of building energy performance and indoor thermal comfort by combining artificial neural networks and metaheuristic algorithms

Not finding a parking space for you sometimes is indeed a critical issue. The number of vehicles is also increasing daily adding to the parking vows at public places. Cities noticed that their drivers had real problems to find a parking space easily especially during peak hours, the difficulty roots from not knowing where the parking spaces are available at the given time. Even if this is known, many vehicles may pursue a small number of parking spaces which in turn leads to traffic congestion. The traffic on roads and parking space has been an area of concern in majority of cities. So, parking monitoring is an important solution. To avoid these problems, recently many new technologies have been developed that help in solving the parking problems to a great extent. Firstly, this paper gives an overview about the concept of smart parking system, their categories and different functionalities. Then we present the latest developments in parking infrastructures. We describe the technologies around parking availability monitoring, parking reservation and dynamic pricing and see how they are utilized in different settings. In addition, a theoretical comparison is presented to show advantages and drawbacks of each different smart parking system to discuss results and open directions for future research.

Smart parking systems: A survey

https://hal.archives-ouvertes.fr/hal-02938854/document

Optimal energy management for a grid connected PV-battery system

Risk management methodologies, such as Mehari, Ebios, CRAMM and SP 800-30 (NIST) use a common step based on threat, vulnerability and probability witch are typically evaluated intuitively using verbal hazard scales such as low, medium, high. Because of their subjectivity, these categories are extremely difficult to assign to threats, vulnerabilities and probability, or indeed, to interpret with any degree of confidence. The purpose of the paper is to propose a mathematical formulation of risk by using a lower level of granularity of its elements: threat, probability, criteria used to determine an asset‘s value, exposure, frequency and existing protection measure. General Terms Security risk assessment, risk management system, framework, audit, information system.

/pdf/information-security-risk-assessment-a-practical-approach-5czuh8wl6e.pdf

Information Security Risk Assessment — A Practical Approach with a Mathematical Formulation of Risk

The building sector in Morocco represents about 25% of the country's total energy consumption, including 18% for the residential sector and 7% for the service sector. The integration of renewable energies in the building sector is the subject of a major trend in terms of future projects in Morocco. Today, Morocco is targeting a strategy that will allow it to achieve 50% of its electricity consumption from a renewable, new and clean local energy source. Through this current situation, this article has just made a positive contribution, by studying the impact of the passive part of a typical Moroccan R+1 building, in particular that of thermal insulation, on its energy self-sufficiency in different climates. TRNSYS simulation studio was used to design and develop a platform to calculate this objective in a global and specific way. This platform combines a whole hybrid system, based on two new and clean renewable energy sources (wind turbine and photovoltaic energy), to the building's thermal loads. The results show that the impact of thermal insulation on the building's energy self-sufficiency in all the studied climates is very significant, especially in Ifrane city (Morocco). Given that the energy self-sufficiency in this climate has been improved by 41.28% more than the baseline situation. Finally, we suggest that the Moroccan building thermal code should include the impact of the passive part of the building on its energy self-sufficiency in the form of numerical indicators, in order to encourage people to get involved in this development.

Hicham Medromi

Papers

Multi-objective optimization of building energy performance and indoor thermal comfort by combining artificial neural networks and metaheuristic algorithms

Smart parking systems: A survey

Optimal energy management for a grid connected PV-battery system

Information Security Risk Assessment — A Practical Approach with a Mathematical Formulation of Risk

Local energy self-sufficiency for passive buildings: Case study of a typical Moroccan building