Building Three Desktop Applications With Sqlite And Java Gui

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Building Three Desktop Applications With Sqlite And Java Gui
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Author : Vivian Siahaan
language : en
Publisher: SPARTA PUBLISHING
Release Date :
Building Three Desktop Applications With Sqlite And Java Gui written by Vivian Siahaan and has been published by SPARTA PUBLISHING this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
The lessons in this book are a highly organized and well-indexed set of tutorials meant for students and programmers. Netbeans, a specific IDE (Integrated Development Environment) is used to create GUI (Graphical User Interface applications).The finished product is the reward, but the readers are fully engaged and enriched by the process. This kind of learning is often the focus of training. In this book, you will learn how to build from scratch a SQLite database management system using Java. In designing a GUI and as an IDE, you will make use of the NetBeans tool. Gradually and step by step, you will be taught how to use SQLite in Java. In chapter one, you will learn: How to create SQLite database and six tables In chapter two, you will study: Creating the initial three table projects in the school database: Teacher table, TClass table, and Subject table; Creating database configuration files; Creating a Java GUI for viewing and navigating the contents of each table; Creating a Java GUI for inserting and editing tables; and Creating a Java GUI to join and query the three tables. In chapter three, you will learn: Creating the main form to connect all forms; Creating a project will add three more tables to the school database: the Student table, the Parent table, and Tuition table; Creating a Java GUI to view and navigate the contents of each table; Creating a Java GUI for editing, inserting, and deleting records in each table; Creating a Java GUI to join and query the three tables and all six tables. In chapter four, you will study how to query the six tables. In chapter five, you will create Bank database and its four tables. In chapter six, you will learn the basics of cryptography using Java. Here, you will learn how to write a Java program to count Hash, MAC (Message Authentication Code), store keys in a KeyStore, generate PrivateKey and PublicKey, encrypt / decrypt data, and generate and verify digital prints. In chapter seven, you will learn how to create and store salt passwords and verify them. You will create a Login table. In this case, you will see how to create a Java GUI using NetBeans to implement it. In addition to the Login table, in this chapter you will also create a Client table. In the case of the Client table, you will learn how to generate and save public and private keys into a database. You will also learn how to encrypt / decrypt data and save the results into a database. In chapter eight, you will create an Account table. This account table has the following ten fields: account_id (primary key), client_id (primarykey), account_number, account_date, account_type, plain_balance, cipher_balance, decipher_balance, digital_signature, and signature_verification. In this case, you will learn how to implement generating and verifying digital prints and storing the results into a database. In chapter nine, you will create a Client_Data table, which has the following seven fields: client_data_id (primary key), account_id (primary_key), birth_date, address, mother_name, telephone, and photo_path. In chapter ten, you will create Crime database and its six tables. In chapter eleven, you will be taught how to extract image features, utilizing BufferedImage class, in Java GUI. In chapter twelve, you will be taught to create Java GUI to view, edit, insert, and delete Suspect table data. This table has eleven columns: suspect_id (primary key), suspect_name, birth_date, case_date, report_date, suspect_ status, arrest_date, mother_name, address, telephone, and photo. In chapter thirteen, you will be taught to create Java GUI to view, edit, insert, and delete Feature_Extraction table data. This table has eight columns: feature_id (primary key), suspect_id (foreign key), feature1, feature2, feature3, feature4, feature5, and feature6. All six fields (except keys) will have a BLOB data type, so that the image of the feature will be directly saved into this table. In chapter fourteen, you will add two tables: Police_Station and Investigator. These two tables will later be joined to Suspect table through another table, File_Case, which will be built in the seventh chapter. The Police_Station has six columns: police_station_id (primary key), location, city, province, telephone, and photo. The Investigator has eight columns: investigator_id (primary key), investigator_name, rank, birth_date, gender, address, telephone, and photo. Here, you will design a Java GUI to display, edit, fill, and delete data in both tables. In chapter fifteen, you will add two tables: Victim and File_Case. The File_Case table will connect four other tables: Suspect, Police_Station, Investigator and Victim. The Victim table has nine columns: victim_id (primary key), victim_name, crime_type, birth_date, crime_date, gender, address, telephone, and photo. The File_Case has seven columns: file_case_id (primary key), suspect_id (foreign key), police_station_id (foreign key), investigator_id (foreign key), victim_id (foreign key), status, and description. Here, you will also design a Java GUI to display, edit, fill, and delete data in both tables.
Matlab Gui Untuk Pemrosesan Citra Digital
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Author : Vivian Siahaan
language : id
Publisher: SPARTA PUBLISHING
Release Date : 2020-02-16
Matlab Gui Untuk Pemrosesan Citra Digital written by Vivian Siahaan and has been published by SPARTA PUBLISHING this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-16 with Computers categories.
Kasus 1: Seri Belajar Sendiri MATLAB GUI Untuk Penapisan Citra Berwarna dan Citra Keabuan Menggunakan Tapis Butterworth 2D Pada kasus ini, Anda akan merancang sendiri, langkah demi langkah, GUI MATLAB untuk melakukan penapisan Butterworth atas citra berwarn maupun citra keabuan. Keempat pita frekuensi: lowpass, bandpass, highpass, dan bandstop akan digunakan untuk mendemonstrasikan proses penapissan. Beberapa kontrol GUI MATLAB yang digunakan seperti Axes, Table, Push Button, Radio Button, Edit Text, Static Text, dan Panel. Hasil penapisan Butterworth kemudian akan ditampilkan secara visual dan kinerjanya, menggunakan tujuh parameter kinerja, akan ditampilkan pada grafik batang. Naskah ini berguna bukan saja bagi programmer pemula tetapi juga bagi mahasiswa dan pengajar yang ingin mengembangkan penelitian pada bidang pemrosesan citra digital. Di akhir naskah, keseluruhan kode sumber dicantumkan sebagai bahan dokumentasi dan referensi. Pembaca dapat mengembangkannya untuk kebutuhan kepentingan praktis maupun kepentingan penelitian. Kasus 2: Belajar Sendiri MATLAB GUI Untuk Pembesaran Citra Digital Menggunakan Metode Nearest-Neighbour dan Interpolasi Bilinear Pada kasus ini, Anda akan merancang sendiri, langkah demi langkah, GUI MATLAB untuk melakukan pembesaran citra (image zooming) menggunakan metode pembesaran Nearest-Neighbour dan metode pembesaran interpolasi Bilinear. Beberapa kontrol GUI MATLAB yang digunakan seperti Axes, Push Button, Edit Text, Static Text, dan Panel. Hasil pembesaran berbasis kedua metode ini akan ditampilkan secara visual dan kinerjanya, menggunakan parameter MSE, akan ditampilkan pada grafik batang. Naskah ini berguna bukan saja bagi programmer pemula tetapi juga bagi mahasiswa dan pengajar yang ingin mengembangkan penelitian pada bidang pemrosesan citra digital. Di akhir naskah, keseluruhan kode sumber dicantumkan sebagai bahan dokumentasi dan referensi. Pembaca dapat mengembangkannya untuk kebutuhan kepentingan praktis maupun kepentingan penelitian. Kasus 3: Belajar Sendiri MATLAB GUI Untuk Penapisan Citra Berwarna dan Citra Keabuan Menggunakan Tapis Chebyshev 2D Pada buku ini, Anda akan merancang sendiri, langkah demi langkah, GUI MATLAB untuk melakukan penapisan Chebyshev atas citra berwarn maupun citra keabuan. Keempat pita frekuensi: lowpass, bandpass, highpass, dan bandstop akan digunakan untuk mendemonstrasikan proses penapissan. Beberapa kontrol GUI MATLAB yang digunakan seperti Axes, Table, Push Button, Radio Button, Edit Text, Static Text, dan Panel. Hasil penapisan Chebyshev kemudian akan ditampilkan secara visual dan kinerjanya, menggunakan tujuh parameter kinerja, akan ditampilkan pada grafik batang. Naskah ini berguna bukan saja bagi programmer pemula tetapi juga bagi mahasiswa dan pengajar yang ingin mengembangkan penelitian pada bidang pemrosesan citra digital. Di akhir naskah, keseluruhan kode sumber dicantumkan sebagai bahan dokumentasi dan referensi. Pembaca dapat mengembangkannya untuk kebutuhan kepentingan praktis maupun kepentingan penelitian.
Seri Belajar Sendiri Matlab Gui
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Author : Vivian Siahaan
language : id
Publisher: SPARTA PUBLISHING
Release Date : 2020-02-14
Seri Belajar Sendiri Matlab Gui written by Vivian Siahaan and has been published by SPARTA PUBLISHING this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-14 with Computers categories.
Pada buku ini, Anda akan merancang sendiri, langkah demi langkah, GUI MATLAB untuk melakukan pembesaran citra (image zooming) menggunakan metode pembesaran Nearest-Neighbour dan metode pembesaran interpolasi Bilinear. Beberapa kontrol GUI MATLAB yang digunakan seperti Axes, Push Button, Edit Text, Static Text, dan Panel. Hasil pembesaran berbasis kedua metode ini akan ditampilkan secara visual dan kinerjanya, menggunakan parameter MSE, akan ditampilkan pada grafik batang. Naskah ini berguna bukan saja bagi programmer pemula tetapi juga bagi mahasiswa dan pengajar yang ingin mengembangkan penelitian pada bidang pemrosesan citra digital. Di akhir naskah, keseluruhan kode sumber dicantumkan sebagai bahan dokumentasi dan referensi. Pembaca dapat mengembangkannya untuk kebutuhan kepentingan praktis maupun kepentingan penelitian.
The Secrets Of Image Fusion Dengan Matlab Gui
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Author : Vivian Siahaan
language : id
Publisher: BALIGE PUBLISHING
Release Date : 2020-02-17
The Secrets Of Image Fusion Dengan Matlab Gui written by Vivian Siahaan and has been published by BALIGE PUBLISHING this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-17 with Computers categories.
Kasus 1: IMAGE FUSION DENGAN MATLAB GUI Menggunakan Transformasi Wavelet Diskret Kompleks Dual-Tree Pada kasus ini, Anda akan merancang sendiri, secara bertahap, GUI MATLAB untuk melakukan operasi fusi citra terhadap citra keabuan dan citra berwarna menggunakan metode transformasi wavelet diskret dual-tree. Ada empat jenis derau yang dipakai: Gaussin, Poisson, Salt & Pepper, dan Speckle. Beberapa kontrol GUI MATLAB yang digunakan seperti Axes, Listbox, Table, Push Button, Edit Text, Static Text, dan Panel. Hasil fusi citra (image fusion) kemudian akan ditampilkan secara visual dan enam parameter kinerja: RMSE, PFE, MAE, CORR, SNR, PSNR, akan ditampilkan pada grafik batang. Kasus 2: IMAGE FUSION DENGAN MATLAB GUI Menggunakan Transformasi Wavelet Diskret Stasioner Satu Level dan Dua Level Pada kasus ini, Anda akan merancang sendiri, secara bertahap, GUI MATLAB untuk melakukan operasi fusi citra terhadap citra keabuan dan citra berwarna menggunakan metode Transformasi Wavelet Diskret Stasioner Satu level dan Dua level. Ada empat jenis derau yang dipakai: Gaussin, Poisson, Salt & Pepper, dan Speckle. Beberapa kontrol GUI MATLAB yang digunakan seperti Axes, Listbox, Table, Push Button, Edit Text, Static Text, dan Panel. Hasil fusi citra (image fusion) kemudian akan ditampilkan secara visual dan enam parameter kinerja: RMSE, PFE, MAE, CORR, SNR, PSNR, akan ditampilkan pada grafik batang. Kasus 3: IMAGE FUSION DENGAN MATLAB GUI Menggunakan Metode Dekomposisi Nilai Singular Resolusi Jamak (MSVD, Multi-Resolution Singular Value Decomposition) Buku ini diperuntukkan bagi mereka yang suka keahlian praktis sekaligus mendapatkan keuntungan pengetahuan. Dengan tidak bertele-tele, pada buku ini, Anda akan merancang sendiri, secara bertahap, GUI MATLAB untuk melakukan operasi fusi citra terhadap citra keabuan dan citra berwarna menggunakan metode Metode Dekomposisi Nilai Singular Resolusi Jamak (MSVD, Multi-Resolution Singular Value Decomposition). Untuk menguji kehandalan metode ini, ada empat jenis derau yang dipakai: Gaussin, Poisson, Salt & Pepper, dan Speckle. Beberapa kontrol GUI MATLAB yang digunakan seperti Axes, Listbox, Table, Push Button, Edit Text, Static Text, dan Panel. Hasil fusi citra (image fusion) kemudian akan ditampilkan secara visual dan enam parameter kinerja: RMSE, PFE, MAE, CORR, SNR, PSNR, akan ditampilkan pada grafik batang. Kasus 4: IMAGE FUSION Dengan MATLAB GUI: Teknik Fusi Citra Berwarna Berbasis Transformasi Kosinus Diskret Dan Piramida Laplacian Kasus ini diperuntukkan bagi mereka yang suka keahlian praktis sekaligus mendapatkan keuntungan pengetahuan. Dengan tidak bertele-tele, pada buku ini, Anda akan merancang sendiri, secara bertahap, GUI MATLAB untuk melakukan teknik fusi citra terhadap citra keabuan dan citra berwarna menggunakan metode Teknik Fusi Citra Berbasis Transformasi Kosinus Diskret dan Piramida Laplacian. Untuk menguji kehandalan metode ini, ada empat jenis derau yang dipakai: Gaussin, Poisson, Salt & Pepper, dan Speckle. Beberapa kontrol GUI MATLAB yang digunakan seperti Axes, Listbox, Table, Push Button, Edit Text, Static Text, dan Panel. Hasil fusi citra (image fusion) kemudian akan ditampilkan secara visual dan enam parameter kinerja: RMSE, PFE, MAE, CORR, SNR, PSNR, akan ditampilkan pada grafik batang. Kasus 5: IMAGE FUSION Dengan MATLAB GUI: Teknik Fusi Citra Menggunakan Kriteria Ketajaman Berbasis Gradien Kasus ini dapat dipakai sebagai tutorial bagi mereka yang ingin bereksperimen mengembangkan GUI MATLAB, baik untuk kepentingan penelitian pemrosesan citra digital maupun kepentingan praktis lain. Buku ini dikhususkan bagi mereka yang suka keahlian praktis sekaligus mendapatkan keuntungan pengetahuan. Dengan tidak bertele-tele, pada buku ini, Anda akan merancang sendiri, secara bertahap, GUI MATLAB untuk melakukan operasi fusi citra terhadap citra keabuan dan citra berwarna menggunakan Teknik Fusi Citra Menggunakan Kriteria Ketajaman Berbasis Gradien. Untuk menguji kehandalan metode ini, ada empat jenis derau yang dipakai: Gaussin, Poisson, Salt & Pepper, dan Speckle.
Mahir Visual C Dengan Membuat Animasi Dan Game
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Author : Vivian Siahaan
language : id
Publisher: SPARTA PUBLISHING
Release Date : 2020-02-17
Mahir Visual C Dengan Membuat Animasi Dan Game written by Vivian Siahaan and has been published by SPARTA PUBLISHING this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-17 with Computers categories.
Pada bab pertama, Anda akan belajar bagaimana membangun aplikasi Visual C# dan bagaimana lingkungan pengembangan (IDE, integrated development environment) Visual C# digunakan untuk mengembangkan sebuah aplikasi game sederhana. Pada bab kedua, Anda akan membangun sebuah projek agar anak-anak (orang dewasa) dapat berlatih keterampilan dasar dalam operasi penjumlahan, pengurangan, perkalian, dan pembagian. Projek Game Matematika ini dapat dipakai untuk memilih jenis soal dan apa faktor yang ingin digunakan. Projek ini memiliki tiga opsi pewaktuan. Soal-soal matematika acak menggunakan nilai dari 0 sampai 9 akan disajikan. Opsi-opsi pewaktuan disediakan untuk mengukur akurasi dan kecepatan. Pada bab ketiga, Anda akan membangun sebuah program Ujian Pilihan Berganda. Item-item acak yang diekstraksi dari sebuah file akan ditampilkan pada user. User kemudian memilih item yang cocok. Sebagai contoh, jika sebuah ibukota ditampilkan, maka user akan memilih propinsi yang bersangkutan. Jawaban disajikan dalam pilihan berganda atau diketikkan sendiri oleh user. Pada bab keempat, Anda akan membangun sebuah program game kartu BlackJack. Program ini dapat dipakai oleh seorang pemain untuk melawan bandar komputer. Ide BlackJack adalah untuk mendapatkan skor lebih tinggi dari bandar tanpa melewati poin 21. Kartu-kartu dihitung sesuai nilainya (kecuali kartu Jack, Queen, dan King bernilai 10 dan Ace bernilai satu atau sebelas sesuai keinginan Anda). Jika Anda mengalahkan bandar, Anda mendapatkan 10 poin. Jika Anda mendapatkan BlackJack (nilai 21 hanya dengan dua kartu) dan mengalahkan bandar, Anda mendapatkan 15 poin. Jika bandar mengalahkan Anda, Anda kehilangan 10 poin. Semoga buku ini bermanfaat bagi mereka yang berminat memperdalam pemrograman C#. NET.
Matlab Gui Koleksi Enam Kasus
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Author : Rismon Hasiholan Sianipar
language : id
Publisher: SPARTA PUBLISHING
Release Date : 2020-02-20
Matlab Gui Koleksi Enam Kasus written by Rismon Hasiholan Sianipar and has been published by SPARTA PUBLISHING this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-20 with Computers categories.
Kasus 1: MATLAB GUI Untuk Mendeteksi Tepi Citra Menggunakan Sejumlah Metode Morfologi Kasus 2: MATLAB GUI Teknik Denoising Adaptif Berbasis Transformasi Wavelet Diskret Kasus 3: MATLAB GUI Untuk Merestorasi Citra Warna dan Citra Keabuan Menggunakan Tapis Inverse, Tapis Wiener, Dekonvolusi Buta, dan Algoritma Lucy-Richardson Kasus 4: MATLAB GUI Untuk Penapisan Citra Berwarna dan Citra Keabuan Menggunakan Tapis Chebyshev 2D Kasus 5: MATLAB GUI Untuk Penapisan Citra Berwarna dan Citra Keabuan Menggunakan Tapis Butterworth 2D Kasus 6: GUI MATLAB Untuk Pembesaran Citra Digital Menggunakan Metode NearestNeighbour dan Interpolasi Bilinear
Learn Sqlite With Python
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Author : Vivian Siahaan
language : en
Publisher: SPARTA PUBLISHING
Release Date : 2019-09-29
Learn Sqlite With Python written by Vivian Siahaan and has been published by SPARTA PUBLISHING this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-29 with Computers categories.
This book is SQLite-based python programming for database-driven desktop projects. Deliberately designed for various levels of programming skill, this book is suitable for students, engineers, and even researchers in various disciplines. There is no need for advanced programming experience, and school-level programming skills are needed. In the first chapter, you will learn to use several widgets in PyQt5: Display a welcome message; Use the Radio Button widget; Grouping radio buttons; Displays options in the form of a check box; and Display two groups of check boxes. In chapter two, you will learn to use the following topics: Using Signal / Slot Editor; Copy and place text from one Line Edit widget to another; Convert data types and make a simple calculator; Use the Spin Box widget; Use scrollbars and sliders; Using the Widget List; Select a number of list items from one Widget List and display them on another Widget List widget; Add items to the Widget List; Perform operations on the Widget List; Use the Combo Box widget; Displays data selected by the user from the Calendar Widget; Creating a hotel reservation application; and Display tabular data using Table Widgets. In chapter three, you will learn: How to create the initial three tables project in the School database: Teacher, Class, and Subject tables; How to create database configuration files; How to create a Python GUI for inserting and editing tables; How to create a Python GUI to join and query the three tables. In chapter four, you will learn how to: Create a main form to connect all forms; Create a project will add three more tables to the school database: Student, Parent, and Tuition tables; Create a Python GUI for inserting and editing tables; Create a Python GUI to join and query over the three tables. In chapter five, you will join the six classes, Teacher, TClass, Subject, Student, Parent, and Tuition and make queries over those tables. In chapter six, you will create dan configure database. In this chapter, you will create Suspect table in crime database. This table has eleven columns: suspect_id (primary key), suspect_name, birth_date, case_date, report_date, suspect_ status, arrest_date, mother_name, address, telephone, and photo. You will also create GUI to display, edit, insert, and delete for this table. In chapter seven, you will create a table with the name Feature_Extraction, which has eight columns: feature_id (primary key), suspect_id (foreign key), feature1, feature2, feature3, feature4, feature5, and feature6. The six fields (except keys) will have VARBINARY(MAX) data type. You will also create GUI to display, edit, insert, and delete for this table. In chapter eight, you will create two tables, Police and Investigator. The Police table has six columns: police_id (primary key), province, city, address, telephone, and photo. The Investigator table has eight columns: investigator_id (primary key), investigator_name, rank, birth_date, gender, address, telephone, and photo. You will also create GUI to display, edit, insert, and delete for both tables. In the last chapter, you will create two tables, Victim and Case_File. The Victim table has nine columns: victim_id (primary key), victim_name, crime_type, birth_date, crime_date, gender, address, telephone, and photo. The Case_File table has seven columns: case_file_id (primary key), suspect_id (foreign key), police_id (foreign key), investigator_id (foreign key), victim_id (foreign key), status, and description. You will create GUI to display, edit, insert, and delete for both tables as well.
Learn Sqlite With Jdbc
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Author : Vivian Siahaan
language : en
Publisher: SPARTA PUBLISHING
Release Date : 2019-09-30
Learn Sqlite With Jdbc written by Vivian Siahaan and has been published by SPARTA PUBLISHING this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-30 with Computers categories.
In this book, you will learn how to build from scratch a criminal records management database system using Java / SQLite. All Java code for digital image processing in this book is Native Java. Intentionally not to rely on external libraries, so that readers know in detail the process of extracting digital images from scratch in Java. In the first chapter, you will be shown how to create SQLite database and tables with Java. In second chapter, you will be taught how to extract image features, utilizing BufferedImage class, in Java GUI. Digital image techniques to extract image features used in this chapted are grascaling, sharpening, invertering, blurring, dilation, erosion, closing, opening, vertical prewitt, horizontal prewitt, Laplacian, horizontal sobel, and vertical sobel. For readers, you can develop it to store other advanced image features based on descriptors such as SIFT and others for developing descriptor based matching. In the third chapter, you will be taught to create Java GUI to view, edit, insert, and delete Suspect table data. This table has eleven columns: suspect_id (primary key), suspect_name, birth_date, case_date, report_date, suspect_ status, arrest_date, mother_name, address, telephone, and photo. In the fourth chapter, you will be taught to create Java GUI to view, edit, insert, and delete Feature_Extraction table data. This table has eight columns: feature_id (primary key), suspect_id (foreign key), feature1, feature2, feature3, feature4, feature5, and feature6. All six fields (except keys) will have a BLOB data type, so that the image of the feature will be directly saved into this table. In the fifth chapter, you will add two tables: Police_Station and Investigator. These two tables will later be joined to Suspect table through another table, File_Case, which will be built in the seventh chapter. The Police_Station has six columns: police_station_id (primary key), location, city, province, telephone, and photo. The Investigator has eight columns: investigator_id (primary key), investigator_name, rank, birth_date, gender, address, telephone, and photo. Here, you will design a Java GUI to display, edit, fill, and delete data in both tables. In the sixth chapter, you will add two tables: Victim and Case_File. The File_Case table will connect four other tables: Suspect, Police_Station, Investigator and Victim. The Victim table has nine columns: victim_id (primary key), victim_name, crime_type, birth_date, crime_date, gender, address, telephone, and photo. The Case_File has seven columns: case_file_id (primary key), suspect_id (foreign key), police_station_id (foreign key), investigator_id (foreign key), victim_id (foreign key), status, and description. Here, you will also design a Java GUI to display, edit, fill, and delete data in both tables. Finally, this book is hopefully useful for you.
Kickstart Java Programming Fundamentals Build Optimize And Scale Real World Applied Java Projects Using Ai And Modern Best Practices
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Author : Dr. Edward
language : en
Publisher: Orange Education Pvt Limited
Release Date : 2025-07-24
Kickstart Java Programming Fundamentals Build Optimize And Scale Real World Applied Java Projects Using Ai And Modern Best Practices written by Dr. Edward and has been published by Orange Education Pvt Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-24 with Computers categories.
Become a Java Pro through Real, Hands-On Coding Experience. Key Features● Master Java through hands-on, real-world coding examples.● Progress from core basics to AI-powered Java development.● Build desktop, web, mobile, and intelligent Java applications. Book DescriptionIn today’s tech-driven world, applied Java programming with AI integration is a game-changer. Java remains a backbone of enterprise and application development—but its real power emerges when combined with hands-on skills and modern technologies like artificial intelligence. Kickstart Java Programming Fundamentals offers a practical, real-world path to mastering Java—from basic syntax to building intelligent systems. Structured into three progressive sections, you'll begin with foundational topics such as variables, loops, OOP, and exception handling. Then, dive into core Java development with I/O operations, GUI programming, multithreading, and data structures. The final section guides you through advanced programming, including performance tuning, mobile and web development, design patterns, and incorporating AI techniques such as logic-based decision making and intelligent automation using Java. Through examples, exercises, and a capstone project, this book empowers you to write robust, modern Java applications. Whether you're prepping for a job, certification, or real-world coding challenges—this is your complete roadmap to mastering Java with AI. Learn it. Apply it. Lead with it. What you will learn● Develop Java-based apps using object-oriented programming principles.● Design interactive GUIs, multithreaded systems, and networked apps.● Integrate relational databases and query them using JDBC & SQL.● Apply design patterns and best practices for scalable development.● Build intelligent apps by integrating AI concepts into Java projects.● Gain job-ready experience through structured, project-based learning.
Learning Pentesting For Android Devices
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Author : Aditya Gupta
language : en
Publisher: Packt Publishing Ltd
Release Date : 2014-03-26
Learning Pentesting For Android Devices written by Aditya Gupta and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-03-26 with Computers categories.
This is an easy-to-follow guide, full of hands-on and real-world examples of applications. Each of the vulnerabilities discussed in the book is accompanied with the practical approach to the vulnerability, and the underlying security issue. This book is intended for all those who are looking to get started in Android security or Android application penetration testing. You don’t need to be an Android developer to learn from this book, but it is highly recommended that developers have some experience in order to learn how to create secure applications for Android.