Aspect] is a simple and practical aspect-oriented extension to Java With just a few new constructs, AspectJ provides support for modular implementation of a range of crosscutting concerns. In AspectJ's dynamic join point model, join points are well-defined points in the execution of the program; pointcuts are collections of join points; advice are special method-like constructs that can be attached to pointcuts; and aspects are modular units of crosscutting implementation, comprising pointcuts, advice, and ordinary Java member declarations. AspectJ code is compiled into standard Java bytecode. Simple extensions to existing Java development environments make it possible to browse the crosscutting structure of aspects in the same kind of way as one browses the inheritance structure of classes. Several examples show that AspectJ is powerful, and that programs written using it are easy to understand.

An overview of AspectJ

Recommender Systems (RSs) are software tools and techniques providing suggestions for items to be of use to a user. In this introductory chapter we briefly discuss basic RS ideas and concepts. Our main goal is to delineate, in a coherent and structured way, the chapters included in this handbook and to help the reader navigate the extremely rich and detailed content that the handbook offers.

/pdf/introduction-to-recommender-systems-handbook-4qtj503mvw.pdf

Introduction to Recommender Systems Handbook

5分で分かる!? 有名論文ナナメ読み：Jacob Devlin et al. : BERT : Pre-training of Deep Bidirectional Transformers for Language Understanding

https://cyberleninka.org/article/n/1480197.pdf

Big Data in Smart Farming – A review

Hawaii International Conference on System Sciences

Part I Introducing Java 2 Platform, Micro Edition (J2ME): overview of J2ME what is J2ME? downloading the J2ME wireless toolkit a simple example the connected limited device configuration (CLDC) examining the CLDC in detail using the standalone CLDC and KVM CLDC next generation the Mobile Information Device Profile (MIDP) Mobile Information Devices more about MIDlets. Part II Programming with the CLDC and the MIDP: working with MIDlets the application manager creating MIDlets MIDP GUI programming why not reuse the AWT? the MIDP GUI APIs the high-level MIDP APIs creating low-level GUI components MIDP events screen navigation handling low-level events networking generic connections MIDP connectivity the HTTP programming model invoking remote applications from MIDlets wireless session tracking MIDlet networking security database programming the record management system programming with the RMS the MIDP for Palm OS installing the MIDP for Palm OS on the Windows platform developing new applications PRC command-line conversion advanced Java applications a final thought. Part III API quick reference: the Java.io package the Java.lang package the Java.util package the Javax.microedition.io package the Javax.microedition.lcdui package the Javax.microedition.midlet package the Javax.microedition.rms package resources.

Learning Wireless Java

Summary

Localizing machine-type communication (MTC) devices or sensors is becoming important because of the increasing popularity of machine-to-machine (M2M) communication networks for location-based applications. These include such as health monitoring, rescue operations, vehicle tracking, and wildfire monitoring. Moreover, efficient localization approaches for sensor-based MTC devices reduce the localization error and energy consumption of MTC devices. Because sensors are used as an integral part of M2M communication networks and have achieved popularity in underwater applications, research is being conducted on sensor localization in both underwater and terrestrial M2M networks. Major challenges in designing underwater localization techniques are the lack of good radio signal propagation in underwater, sensor mobility management, and ensuring network coverage in 3D underwater M2M networks. Similarly, predicting the mobility pattern of MTC devices, trading-off energy consumption and location accuracy pose great design challenges for terrestrial localization techniques. This article presents a comprehensive survey on the current state-of-the-art research on both terrestrial and underwater localization approaches for sensor-based MTC devices. It also classifies localization approaches based on several factors, identifies their limitations with potential solutions, and compares them. Copyright © 2015 John Wiley & Sons, Ltd.

Localization in terrestrial and underwater sensor-based m2m communication networks: architecture,classification and challenges

The networks that connect handheld wireless devices such as cell phones and PDAs suffer from low bandwidth and a high incidence of network errors. By employing mobile agents, such devices could provide a reliable technology for message transport over wireless links. Mobile agents are inherently distributed software entities that reduce the load on the network when they move. Mobile agents can be employed in wireless handheld devices in two ways: An agent platform could be installed on the device, enabling mobile agents to run directly on it, or devices could access and use remote mobile agents running on wired networks. Each approach is viable and has its own advantages and domain-specific applications. Some high-end devices would benefit from running a mobile agent platform that lets agents run locally, but this would not be beneficial to others because of processing power and memory constraints or for security reasons.

Mobile agents in wireless devices

While academic institutions maintain records such as transcripts and certificates, they are often requested to share these records with other institutions at the request of students for credit transfer, or prerequisites for acceptance into new academic programs. While the transfer of academic records is a regular daily activity for the institutions, there is often significant overhead involved as the process of transfer and verification is extremely manual. The need for an automated end-to-end solution for the transfer and verification of academic records between institutions is on the edge to reduce wait times for students to transfer their records, as well as to provide a reliable verification method to avoid academic fraud. This paper presents a permissioned blockchain-based system to allow institutions to securely and dependably transfer and verify academic records at the student request. Permissioned blockchains, such as Hyperledger, provide a more scalable and cost-effective and private solution for enterprise applications. Our solution is comprised of a web interface for enrolling and requesting the transfer, with a backend using Hyperledger Fabric and Hyperledger Composer to retain the hash of the records on the blockchain for verification.

A Permissioned Blockchain-Based System for Verification of Academic Records

The paper discusses mobile services (m-services) in the wireless world. This world has its own features that make it different from the wired world. For instance, new communication channels need to be used, new user-friendly services need to be suggested, and new types of computing resources need to be involved. The paper also discusses the use of software agents in addressing those features.

Qusay H. Mahmoud

Papers

Learning Wireless Java

Localization in terrestrial and underwater sensor-based m2m communication networks: architecture,classification and challenges

Mobile agents in wireless devices

A Permissioned Blockchain-Based System for Verification of Academic Records

Software agents to support mobile services