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

Economic Control of Quality of Manufactured Product.

The objective of this paper is to give a comprehensive introduction to applied cryptography with an engineer or computer scientist in mind. The emphasis is on the knowledge needed to create practical systems which supports integrity, confidentiality, or authenticity. Topics covered includes an introduction to the concepts in cryptography, attacks against cryptographic systems, key use and handling, random bit generation, encryption modes, and message authentication codes. Recommendations on algorithms and further reading is given in the end of the paper. This paper should make the reader able to build, understand and evaluate system descriptions and designs based on the cryptographic components described in the paper.

[서평]「Applied Cryptography」

This document provides updates to IEEE Std 802.16's MIB for the MAC, PHY and asso- ciated management procedures in order to accommodate recent extensions to the standard.

IEEE Standard for Local and Metropolitan Area Networks Part 16: Air Interface for Fixed Broadband Wireless Access Systems Draft Amendment: Management Information Base Extensions

我的台灣, 看見心靈的故鄉 =2009林磐聳藝術與設計展

Many schemes to reduce the inter-LMA handoff delay in hierarchical Proxy Mobile IPv6 have been proposed but the previous schemes waste relatively large network resources to decrease the path rerouting delay. In this paper, we propose the 2-layered LMA concept, where the seamless inter-LMA handoff can be supported regardless of path rerouting time. As a result, the waste of wired resources and the rate of the inter-LMA handoff can be reduced. From the performance analysis, the proposed scheme gives the shortest handoff delay due to registering only to MN’s LMA and more efficient handoff process than PMIPv6. Such advantageous features of the proposed scheme neither incur any increase of the total handoff rate nor require additional LMAs.

Performance Analysis of Inter-LMA Handoff Scheme Based on 2-Layer in Hierarchical PMIPv6 Networks

This paper presents our performance evaluation after the way of minimizing waiting times between channel switching for eMBMS(evolved Multimedia Broadcast/Multicast Services) technique in LTE-Advanced systems. Existing composition of MBMS using IGMP(Internet Group Management Protocol) transfers the data with Multicast from BM-SC(Broadcast Multicast Service Center) to eNB(evolevd Node B) and with Broadcast from eNB to UE(User Equipment). Therefore, in case of channel switching, IGMP Join report should be transferred to BM-SC and then wait user`s contents to be retransferred from eNB. To achieve this, Subscriber Channel technique of priorities is used for minimizing waiting times between channel switching as UE broadcasts favorite channels in advance.

Analysis for Channel Change Minimization Scheme of Mobile IPTV Service in LTE-Advanced Systems

Home network providers have many issues to resolve in providing home network services with an expandable, reliable, flexible, and low-cost structure to accommodate the expanding market environment. Current client-server systems have various problems, such as complexity and high costs to provide home network services. However, these problems can be simply solved by employing the P2P communication terminal that supports access of distributed resources to provide the functions that the current SIP-based network devices perform. Because diverse terminals in a home network access through networks, partitioning network domains with home gateways to manage and applying the network-based PMIPv6 (Proxy Mobile IPv6) technology that considers mobility of terminals would also help to create a more efficient home network structure. This proposed P2P-SIP architecture is very efficient with outstanding expandability to support the various home networks in a region while reducing maintenance costs.

Design and Performance Analysis of A Novel P2P-SIP Architecture for Network-Based Mobility Support in Intelligent Home Networks

Rule Extraction Required for Manufacturing Process Design

In this paper, an efficient neighbor AR (Access Router) discovery scheme and handoff procedure using neighbor information, called the Pre-Binding Update and Forwarding (PBF) scheme, are proposed. It allows each AR and Mobility Anchor Point (MAP) to know neighboring ARs and MAPs, and therefore, a mobile node (MN) can perform the handoff process in advance, using the proposed handoff mechanism. It is important to note that the Inter-MAP domain handoff improvement of the proposed scheme is up to about 57% and 33% for handoff latency in comparison of the Hierarchical Mobile IPv6 (HMIPv6) and the Hierarchical Mobile IPv6 with Fast handover (F-HMIPv6), respectively. In HMIPv6, the total signaling cost rapidly increases in proportion to the number of Correspondent Nodes (CNs) communicating with the MN. Therefore this is combined with the Inter-MAP forwarding scheme, which operates differently to HMIPv6. It does not transmit the Binding Update (BU) message to the CNs and Home Agent (HA) when the MN moves among adjacent MAPs, after the Pre-BU process for Inter-MAP handoff. The proposed scheme demonstrates superior performance, which the total signaling cost is smaller than that of the HMIPv6 scheme, until 8 forwarding steps. Therefore, it is sufficiently satisfied with the requirements of real-time applications, and seamless communication is expected.

Jongpil Jeong

Papers

Performance Analysis of Inter-LMA Handoff Scheme Based on 2-Layer in Hierarchical PMIPv6 Networks

Analysis for Channel Change Minimization Scheme of Mobile IPTV Service in LTE-Advanced Systems

Design and Performance Analysis of A Novel P2P-SIP Architecture for Network-Based Mobility Support in Intelligent Home Networks

Rule Extraction Required for Manufacturing Process Design

Low latency and cost effective handoff based on PBF scheme in hierarchical mobile IPv6