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

Deposits of clastic carbonate-dominated (calciclastic) sedimentary slope systems in the rock record have been identified mostly as linearly-consistent carbonate apron deposits, even though most ancient clastic carbonate slope deposits fit the submarine fan systems better. Calciclastic submarine fans are consequently rarely described and are poorly understood. Subsequently, very little is known especially in mud-dominated calciclastic submarine fan systems. Presented in this study are a sedimentological core and petrographic characterisation of samples from eleven boreholes from the Lower Carboniferous of Bowland Basin (Northwest England) that reveals a >250 m thick calciturbidite complex deposited in a calciclastic submarine fan setting. Seven facies are recognised from core and thin section characterisation and are grouped into three carbonate turbidite sequences. They include: 1) Calciturbidites, comprising mostly of highto low-density, wavy-laminated bioclast-rich facies; 2) low-density densite mudstones which are characterised by planar laminated and unlaminated muddominated facies; and 3) Calcidebrites which are muddy or hyper-concentrated debrisflow deposits occurring as poorly-sorted, chaotic, mud-supported floatstones. These

Phd by thesis

Data Mining - Concepts and Techniques.

Kini semakin banyak perusahaan yang menghubungkan diri dengan internet sebagai upaya untuk memperluas jaringan komputer mereka. Namun demikian internet memiliki masalah mendasar, yaitu keamanan. Dengan terhubung ke internet berarti terbuka pintu bagi orang lain untuk mengakses bahkan merusak informasi ataupun sistem pada jaringan lokal. Berbagai mekanisme telah dibuat untuk mendukung layanan keamanan di internet, diantaranya dengan pembatasan jalur data antara jaringan lokal dan internet. Namun tidaklah cukup karena protokol TCP/IP yang digunakan di internet menyimpan kelemahan dalam layanan keamanan. Oleh karena itu protokol tersebut diperbaharui agar dapat memenuhi tuntutan komunitas
internet atas layanan keamanan. IPng sebagai hasil pembauran, mendukung keamanan dengan menyediakan layanan autentikasi dan enkripsi pada paket IP. Dalam tugas akhir ini penulis melakukan implementasi sebuah layanan keamanan pada ITng, yaitu autentikasi. Implementasi mencapku penggunaan beberapa algoritma seperti MD5 dan SHA untuk proses autentikasi dan penggunaan sistem operasi linux sebagai lingkungan nya. Hasil evaluasi menunjukkan bahwa penggunaan layanan autentikasi membuat waktu pengiriman paket menjadi dua kali lipat.

Metodologi Penelitian Pendidikan

Applicability of dimethyl ether (DME) in a compression ignition engine as an alternative fuel

Currently, the air quality monitoring becomes important things for knowing the value of air pollution especially in the cities. In our previous research, we built the air quality monitoring system using wireless sensor network (WSN). Each sensor nodes will transmit all of the air quality data to the base station controller (BSC). This data consists of weather condition, temperature, humidity, carbon monoxide (CO) and carbon dioxide (CO 2 ). In this paper, we propose an implementation of the classification algorithm for classifying air quality in BSC node for generating the danger status of the warning system. By using the C4.5 algorithm, the entropy and information gain values of each case were determined in order to construct the decision tree structure and building the rule sets. From the experiment using confusion matrix, we can see that the proposed decision tree algorithm has the capability to classify the air quality data from sensor nodes with the accuracy of 85.71%, the precision of 81.82%, the sensitivity of 60.00%, and the specificity of 92.31%.

Data classification for air quality on wireless sensor network monitoring system using decision tree algorithm

Forest areas in Indonesia covered about 2/3 of total land areas which has about 4000 wood species Wood identification plays a key role in wood utilization not only for determining appropriate use but also for supporting legal timber trade However, the identification process requires high expertise and complex method which can be done in the laboratory In order to simplify the identification process, we develop wood identification using computer vision by using Histogram of Oriented Gradient (HOG) to extract the species of wood and Support Vector Machines (SVM) to classify wood species These methods combination will improve the accuracy of wood identification process The result showed that the HOG method can extract the texture of woods and SVM classifier can generate the boundary decision after executing the training process By doing the testing process of SVM classifier, the result showed that the accuracy from the identification is 705% for using positive testing image and 775% for using negative testing image This accuracy value can be reached because the texture for each training image has different texture pattern especially the number and location of vessels

Wood identification based on histogram of oriented gradient (HOG) feature and support vector machine (SVM) classifier

Although used since 1893, biodiesel still faces problems that must be overcome before it can fully replace petroleum diesel. Existing literature shows that continuous use of biodiesel could lead to higher growth of deposits on critical engine components, contributing to lots of problems that could ultimately decrease engine performance. In this context, endurance tests were performed to compare the impacts of B50 and Indonesian biodiesel fuel (IBF: diesel fuel containing 10% palm oil biodiesel) on engine durability. More specifically, deposits growth as well as deposits structure and composition in response to the application of the above-mentioned fuel blends were investigated over 200 h. The results revealed that B50 produced relatively larger amounts of deposits especially on the valves and injector tip while also increased the risk of ring sticking. In addition, the structure and the elemental composition of the deposits formed on engine important components, i.e., injector tips, piston crown, intake/exhaust valves, cylinder head, and piston grooves when B50 was used were quite different compared with the IBF. Overall, more deposits formation was observed by increasing biodiesel inclusion rate while deposits tended to be wet and brittle as well.

Growth and characterization of deposits in the combustion chamber of a diesel engine fueled with B50 and Indonesian biodiesel fuel (IBF)

Compressive sensing (CS) is new data acquisition algorithm that can be used for compression. CS theory certifies that signals can be recovered from far fewer samples or measurements than Nyquist rate. On this paper, the compressive sensing technique is applied for data compression on our weather monitoring system. On this weather monitoring system, compression using compressive sensing with fewer samples or measurements means minimizing sensing and overall energy cost. Our focus on this paper lies in the selection of matrix for representation basis under which the weather data are sparsely represented. We evaluated three types of representation basis using data from real measurement. By comparing performance of data recovery, result show that DCT (Discrete Cosine Transform) is the best performance on sparsifying weather data

Compressive Sensing Algorithm for Data Compression on Weather Monitoring System

In the previous research, a single master-multi slave microcontroller communication method has been developed. The microcontroller is able to communicate using unicast communication, i.e. the master gave orders to one slave address via the master-slave network that has star topology. Then the slave who has the same address which is requested will respond or take action in accordance with the master command. This paper will explain the use of a single master — multi slave communication method in a Remote Terminal Unit (RTU) of Mini Monitoring Weather Station Based on Microcontroller.

Bambang Sugiarto

Papers

Data classification for air quality on wireless sensor network monitoring system using decision tree algorithm

Wood identification based on histogram of oriented gradient (HOG) feature and support vector machine (SVM) classifier

Growth and characterization of deposits in the combustion chamber of a diesel engine fueled with B50 and Indonesian biodiesel fuel (IBF)

Compressive Sensing Algorithm for Data Compression on Weather Monitoring System

Design and implementation of Remote Terminal Unit on Mini Monitoring Weather Station Based on Microcontroller