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1. Create a folder in your development environment called lisptorq. 2. Create a .\lib subfolder within this folder. 3. Extract jlisp.jar, the LISP interpreter found in jlisp_0.2.zip in the Source Code

4. Save lisptorq.jar in the Source Code section of the Apress website into .\lib. 5. Save derby.jar, the Derby database driver in the Source Code section of the Apress

unsigned long read_register16(char register_name) { byte in_byte1; byte in_byte2; float in_word; register_name <<= 2; digitalWrite(SLAVESELECT,LOW); //Enable SPI Device spi_transfer(register_name); //Write byte to device in_byte1 = spi_transfer(0x00); in_byte2 = spi_transfer(0x00); digitalWrite(SLAVESELECT,HIGH); // Disable SPI Device in_word = UBLB(in_byte1,in_byte2); return(in_word); // return value

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John Meyer and Helge Scheil As you look to further ensure predictability across your portfolio, you must work to proactively mitigate risk. It s important to accept that you ll never truly eliminate risk; rather, you should try to keep risk at a level that both your executive team and auditors find acceptable. To mitigate risk, what Key Performance Indicators (KPIs) do you need to effectively manage Time and money are most commonly monitored and generally, most organizations have a good grasp on this today. For some organizations, competitive and regulatory changes can have profound implications that create new and urgent requirements. PPM makes it easier to manage in an environment that is constantly changing and requires course corrections. To drive consistency and predictability, client satisfaction should also be proactively managed. Project managers must collaborate with business unit leaders, keeping them involved and engaged throughout the project life cycle to help ensure that business requirements are satisfied. Without a continuous feedback loop, projects delivered are at risk of not satisfying business expectations. Continually assessing performance and mitigating project and portfolio risk helps to drive increased productivity and efficiency, while allowing organizations to quickly adapt to dynamic business conditions. Ultimately, it helps to strengthen the ability to deliver on commitments to the business. Refer to Case Study: International Beverage Company in this chapter to see how one company benefited from PPM. CASE STUDY: INTERNATIONAL BEVERAGE COMPANY

In what follows, we will create a simple bookstore app, in which we ll store books along with publisher and author information. (This app originally appeared in Apache Torque s tutorial.) The database has three tables: author: Has four columns: author_id, first_name, last_name, and full_name. Make author_id an autogenerated field. It should also be a primary key for this table. publisher: Has just two columns: publisher_id and name. Make publisher_id an autogenerated field. It should also be a primary key for this table. book: Has four columns: title and ISBN to hold data; author_id, which is a foreign key to the author_id column in the author table; and publisher_id, which is a foreign key to the publisher table. It should be fairly transparent what the three tables represent. Apart from the three ID columns, which should be INTEGERs, the other columns should be (VARCHAR 255). You need to complete the following:

void write_register(char register_name, char register_value) { register_name <<= 2; register_name |= B00000010; //Write command digitalWrite(SLAVESELECT,LOW); //Select SPI device spi_transfer(register_name); //Send register location spi_transfer(register_value); //Send value to record into register digitalWrite(SLAVESELECT,HIGH);

1. Create a new text file called main.lisp in the Lisptorq development folder. 2. Open this up with Notepad (or your favorite IDE), and write the Lisptorq database

schema for this database. You will certainly need help please refer to the Lisptorq manual at www.thinksquared.net/dev/lisptorq/.

When you run the code, you will see a graph of pressure over time as well as the current pressure and temperature. This isn t very exciting at first, as it needs over 24 hours to show the pressure changes. Each dot represents 15 minutes of time and the horizontal scale is hours. If you want to speed things up and fill the graph up more quickly, change the value in the INTERVAL define to something smaller.

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