Weapons of Mass Instruction

This chapter reviews the literature on using movies/films for teaching public administration. Such a review is necessary due to the changing demographics of both the student body and the instructors, which necessitates the use of new pedagogical methods and the ubiquitous accessibility of the teaching materials via mobile computers on the internet. To this end, the chapter first reviews the literature then provides a few detailed specific examples of using movies/movie clips for instructional purposes in teaching public administration. Then, a general list of movies that can be used in public administration teaching is provided with a reference to the concepts that can be showcased by these films. Third, limitations of the existing literature on teaching public administration with movies are presented. And finally, areas for further research are discussed.

Protocol for applying Machine Learning models for the transformation of conventional fluorescence images to super-resolution

Machine Learning offers the opportunity to visualize the invisible in conventional fluorescence microscopy images by improving their resolution while preserving and enhancing image details. This protocol describes the application of GAN-based Machine Learning models to transform the resolution of conventional fluorescence microscopy images to a resolution comparable with super-resolution. It provides a flexible environment using a modern app functioning on both desktop and mobile computers. This approach can be extended for use on other types of microscopy images empowering life science researchers with modern analytical tools.

An IoT Fast and Low Cost Based Smart Irrigation Intelligent System Using a Fuzzy Energy-Aware Routing Approach

Agriculture plays a major role in the world economy and most people depend on it for their livelihood. This makes water an important resource that must be conserved using the latest available technologies. Today, the Internet of Things (IoT) has extended its capabilities to smart farming. In this paper, an automated and low-cost system for intelligent irrigation based on a Fuzzy-based energy-aware routing approach is presented. In addition, a neural network is trained to determine the best irrigation program, based on information received from sensors (such as temperature, soil moisture, etc.). The user in the system can monitor the data collection process with mobile phones, mobile computers, etc. and manage the irrigation of agricultural products. The proposed system proves its suitability with intelligence and low cost and portability, for greenhouses, farms, etc. The simulation results show that the proposed method offers better results compared to the LEACH protocol as well as the WSN-IoT algorithm in various criteria such as network lifetime and power consumption.

Analysis of Biomedical Applications in Embedded Systems Devices

Embedded systems are rapidly being used in clinical and biological applications, as well as commercial, telecommunications, government, and other business applications. Embedded system solutions are growing in popularity, not only with types of technologies, garments, industries, healthcare and military hardware, and mobile computers, but with software solutions like' electronic worlds' and 'mobile worlds,' deep learning, and internet of things, which allow for the creation of a wide range of application. With the growth of viral illnesses like the Covid-19 virus, tele-health technologies for diagnostics, prognostic, and patient treatment have become more important in recent decades. In medical technologies, embedded device techniques have taken a significant role. Developing techniques to improve the security of medical practitioners in the case of pandemic contagious diseases, such as epidemics, is particularly important. Patients released from clinics home-based or in treatment wards that are non-intensive during the quarantine period, or segregated in their residences, outpatients’ departments, and moderately ailing individuals are progressively being monitored remotely, instantaneously, safely, and rapidly for this reason. The applications biomedical applications in embedded systems will be discussed in this paper.

A Framework for Planning and Execution of Drone Swarm Missions in a Hostile Environment

This article presents a framework for planning a drone swarm mission in a hostile environment. Elements of the planning framework are discussed in detail, including methods of planning routes for drone swarms using mixed integer linear programming (MILP) and methods of detecting potentially dangerous objects using EO/IR camera images and synthetic aperture radar (SAR). Methods of detecting objects in the field are used in the mission planning process to re-plan the swarm’s flight paths. The route planning model is discussed using the example of drone formations managed by one UAV that communicates through another UAV with the ground control station (GCS). This article presents practical examples of using algorithms for detecting dangerous objects for re-planning of swarm routes. A novelty in the work is the development of these algorithms in such a way that they can be implemented on mobile computers used by UAVs and integrated with MILP tasks. The methods of detection and classification of objects in real time by UAVs equipped with SAR and EO/IR are presented. Different sensors require different methods to detect objects. In the case of infrared or optoelectronic sensors, a convolutional neural network is used. For SAR images, a rule-based system is applied. The experimental results confirm that the stream of images can be analyzed in real-time.

ELECTRONIC GOVERNANCE IN THE PROCESS OF MAKING MANAGEMENT DECISIONS

The article reveals the features of the process of development of information and communication technologies (ICT), and with them e-government, which in turn affects the state-building processes. ICTs are becoming more accessible to increase simplicity and efficiency in many areas of life. ICT is particularly promising in the field of governance and public participation. Proponents of open and e-government believe that in the digital age, governments can use information to reduce corruption and increase government transparency, accountability, efficiency, and citizen participation. Proponents of human rights argue that the successful use of ICT in governance requires access to information, education and the ability to share information with citizens. One of the main goals of e-government is to increase the level of citizen involvement in state activities and government decision-making. This goal is achieved through openness and transparency of public authorities and local governments. Citizens' trust and support of the government play a key role in the formation and successful support of a democratic state. The world revolution in information and communication technologies is currently underway. The Internet, the personal computer and the mobile phone are radically changing our lives - influencing how we work, learn and interact. Governments around the world recognize the value of e-government. With the right design and implementation, e-government can increase the efficiency of public services, simplify government regulation, strengthen public participation and trust in government, and save money for citizens, businesses and government itself. Not surprisingly, politicians and leaders seek to introduce e-government in countries around the world - from the most developed to the least developed. The use of information technology by public authorities (such as global networks, the Internet and mobile computers), which have the ability to transform relationships with citizens, businesses and other branches of government. These technologies can serve a variety of purposes: better delivery of public services to citizens, better interaction with business and industry, empowering citizens through access to information, or better governance. Its benefits can be reduced corruption, increased transparency, greater convenience, increased revenue, and / or reduced costs.

Developing User Interface Mobile Application for Tourist

Mobile phones have become full-featured mobile computers, and the usage of this technology were developed promptly. Interest towards the usages of mobile phone as an intervention in developing new application for user were also seem very promising. Much has been discus about the role of mobile application nowadays. Mobile apps that been design and created by the genius content developers, mostly are the applications that try to solve the problem facing by the user out there. Design process that has been conducted earlier in the study has led towards the invention of Thru Eye Apps. The applications are focusing on user interface and usability, and this were a baseline in developing the Thru Eyes Apps. The Thru Eye apps were developed to ease and guide tourist while traveling. With the establishment of this application, user will able to travel easily even though they travelling for the first time. Thus, this research paper discusses the user interface design process of forming Thru Eye apps in assisting tourist while travelling.

Object tracking algorithm by moving video camera

The algorithm ACT (Adaptive Color Tracker) to track objects by a moving video camera is presented. One of the features of the algorithm is the adaptation of the feature set of the tracked object to the background of the current frame. At each step, the algorithm extracts from the object features those that are more specific to the object and at the same time are at least specific to the current frame background, since the rest of the object features not only do not contribute to the separation of the tracked object from the background, but also impede its correct detection. The features of the object and background are formed based on the color representations of scenes. They can be computed in two ways. The first way is 3D-color vectors of the clustered image of the object and the background by a fast version of the well-known k-means algorithm. The second way consists in simpler and faster partitioning of the RGB-color space into 3D-parallelepipeds and subsequent replacement of the color of each pixel with the average value of all colors belonging to the same parallelepiped as the pixel color. Another specificity of the algorithm is its simplicity, which allows it to be used on small mobile computers, such as the Jetson TXT1 or TXT2.The algorithm was tested on video sequences captured by various camcorders, as well as by using the well-known TV77 data set, containing 77 different tagged video sequences. The tests have shown the efficiency of the algorithm. On the test images, its accuracy and speed overcome the characteristics of the trackers implemented in the computer vision library OpenCV 4.1.

The Importance of Synchronous Sessions in Online Asynchronous Classes

When online classes began being developed and made available in higher education approximately 20 years ago, the vast majority of the online classes and programs were asynchronous, meaning that instructors did not meet with students in real-time or synchronously. There were few synchronous courses, and this was due to the high expense of video teleconferencing systems and the inability of many computers to handle the high bandwidth and memory required to participate in such synchronous sessions. Now, there has been a significant revolution in video teleconferencing systems and in the computers used to access them. Systems are now affordable and most learning management systems (LMS) even have them embedded. While mobile computers, including handheld devices such as iPhones, Androids, and tablets, can access the synchronous sessions from anywhere they can access the Internet. It is time to reassess the value and effectiveness of having synchronous sessions in online classes that are primarily asynchronous.