Decision Agriculture,
2020
Purdue University
Decision Agriculture, Abdul Salam, Usman Raza
Faculty Publications
In this chapter, the latest developments in the field of decision agriculture are discussed. The practice of management zones in digital agriculture is described for efficient and smart faming. Accordingly, the methodology for delineating management zones is presented. Modeling of decision support systems is explained along with discussion of the issues and challenges in this area. Moreover, the precision agriculture technology is also considered. Moreover, the chapter surveys the state of the decision agriculture technologies in the countries such as Bulgaria, Denmark, France, Israel, Malaysia, Pakistan, United Kingdom, Ukraine, and Sweden. Finally, different field factors such as GPS accuracy and …
Autonomous Irrigation Management In Decision Agriculture,
2020
Purdue University
Autonomous Irrigation Management In Decision Agriculture, Abdul Salam, Usman Raza
Faculty Publications
In this chapter, the important application of autonomous irrigation management in the field decision agriculture is discussed. The different types of sensor-guided irrigation systems are presented that includes center pivot systems and drip irrigation systems. Their sensing and actuator components are with detailed focus on real-time decision-making and integration to the cloud. This chapter also presents irrigation control systems which takes, as an input, soil moisture and temperature from IOUT and weather data from Internet and communicate with center pivot based irrigation systems. Moreover, the system architecture is explored where development of the nodes including sensing and actuators is presented. …
Underground Wireless Channel Bandwidth And Capacity,
2020
Purdue University
Underground Wireless Channel Bandwidth And Capacity, Abdul Salam, Usman Raza
Faculty Publications
The UG channel bandwidth and capacity are vital parameters in wireless underground communication system design. In this chapter, a comprehensive analysis of the wireless underground channel capacity is presented. The impact of soil on return loss, bandwidth, and path loss is discussed. The results of underground multi-carrier modulation capacity are also outlined. Moreover, the single user capacity and multi-carrier capacity are also introduced with an in-depth treatment of soil texture, soil moisture, and distance effects on channel capacity. Finally, the chapter is concluded with a discussion of challenges and open research issues.
Variable Rate Applications In Decision Agriculture,
2020
Purdue University
Variable Rate Applications In Decision Agriculture, Abdul Salam, Usman Raza
Faculty Publications
In this chapter, the variable rate applications (VRA) are presented for the field of decision agriculture. The characteristics of VRA control systems are described along with control hardware. Different types of VRA systems are discussed (e.g., liquid VRA systems and dry VRA systems). A case study is also explored in this regard. Moreover, recent advances and future trends are also outlined. Accordingly, a sustainable variable-rate irrigation scheduling is studied where different hardware and software component of the cyber-physical system are considered. Finally, chapter is concluded with a novel sensor deployment methodology.
The Law Of Black Mirror - Syllabus,
2020
CUNY Bernard M Baruch College
The Law Of Black Mirror - Syllabus, Yafit Lev-Aretz, Nizan Packin
Open Educational Resources
Using episodes from the show Black Mirror as a study tool - a show that features tales that explore techno-paranoia - the course analyzes legal and policy considerations of futuristic or hypothetical case studies. The case studies tap into the collective unease about the modern world and bring up a variety of fascinating key philosophical, legal, and economic-based questions.
Tech Policy And Legal Theory Syllabus,
2020
CUNY Bernard M Baruch College
Tech Policy And Legal Theory Syllabus, Yafit Lev-Aretz, Nizan Packin
Open Educational Resources
Technology has changed dramatically over the last couple of decades. Currently, virtually all business industries are powered by large quantities of data. The potential as well as actual uses of business data, which oftentimes includes personal user data, raise complex issues of informed consent and data protection. This course will explore many of these complex issues, with the goal of guiding students into thinking about tech policy from a broad ethical perspective as well as preparing students to responsibly conduct themselves in different areas and industries in a world growingly dominated by technology.
Blockchain And Its Transformational Impact To Global Business,
2020
Southern Methodist University
Blockchain And Its Transformational Impact To Global Business, Mohammed Qaudeer
Operations Research and Engineering Management Theses and Dissertations
The advent of internet to the public back in 1994 resulted in the 4th industrial revolution disrupting and transforming business and communication models. As much as the transformation changed our lives and experiences, it has resulted in centralized models like Amazon and Facebook. It also resulted in exponential growth of Fraud, Identity theft, and lack of trust. Blockchain is considered an emerging technology of this era, which will trigger the 5th industrial revolution enabling another massive storm of disruptive transformation completely changing the current business models based on trust, security, collaboration and crypto currency. As the evolution of blockchain technology …
A Review Paper: Analysis Of Weka Data Mining Techniques For Heart Disease Prediction System,
2020
Al-Mustansiriyah University
A Review Paper: Analysis Of Weka Data Mining Techniques For Heart Disease Prediction System, Basma Jumaa Saleh, Ahmed Yousif Falih Saedi, Ali Talib Qasim Al-Aqbi, Lamees Abdalhasan Salman
Library Philosophy and Practice (e-journal)
Data mining is characterized as searching for useful information through very large data sets. Some of the key and most common techniques for data mining are association rules, classification, clustering, prediction, and sequential models. For a wide range of applications, data mining techniques are used. Data mining plays a significant role in disease detection in the health care industry. The patient should be needed to detect a number of tests for the disease. However, the number of tests should be reduced by using data mining techniques. In time and performance, this reduced test plays an important role. Heart disease is …
How Can 5g Make Our Lives Better?,
2020
Syracuse University
How Can 5g Make Our Lives Better?, Firas Slewa Dawod
International Programs
Our lives will be significantly improved with the advent of the new cellular wireless technology due to all its new features and applications. This Poster discusses the main features and application of 5G technology and its positive impact on society, in particular facilitating interactive and smart communities.
Indonesian Library User Behaviour During Covid 19 Pandemic On Digital Library Platform,
2020
Syracuse University
Indonesian Library User Behaviour During Covid 19 Pandemic On Digital Library Platform, Irhamni
International Programs
COVID-19 pandemic has significantly changed library user behavior, workplaces, and some public areas including in the library. During the COVID 19 pandemics, the digital library with a mobile app like ipusnas has facilitated to accessing library resources. The ipusnas has increased people's accessibility to library materials. This research focuses on the use of the digital library has a significant impact on library users behavior; it can influence how they read, access the library, and their interaction with the library resources.
Snitch Application: Addressing Cyber Trust In Future Living Spaces,
2020
Christopher Newport University
Snitch Application: Addressing Cyber Trust In Future Living Spaces, Russell Moore
Cybersecurity Undergraduate Research Showcase
The future of smart homes is filled with excitement and ample opportunity to live in an environment that features extraordinary convenience and energy efficiency. Devices such as Amazon Alexa and Roku Smart TV’s feature voice interaction options that provide the user with enhanced functionality. While voice-activated devices are accommodating, it is imperative to acknowledge how they work on the backend. The problem is that these devices collect and share a large amount of data from users who are oftentimes unaware that it’s even happening. The Snitch App is being developed in order to inform the user of what exactly is …
Intelligent Algorithm For Trapezoidal Interval Valued Neutrosophic Network Analysis,
2020
University of New Mexico
Intelligent Algorithm For Trapezoidal Interval Valued Neutrosophic Network Analysis, Florentin Smarandache, Said Broumi, Deivanayagampillai Nagarajan, Malayalan Lathamaheswari, Mohamed Talea, Assia Bakali
Branch Mathematics and Statistics Faculty and Staff Publications
The shortest path problem has been one of the most fundamental practical problems in network analysis. One of the good algorithms is Bellman-Ford, which has been applied in network, for the last some years. Due to complexity in the decision-making process, the decision makers face complications to express their view and judgment with an exact number for single valued membership degrees under neutrosophic environment. Though the interval number is a special situation of the neutrosophic, it did not solve the shortest path problems in an absolute manner. Hence, in this work, the authors have introduced the score function and accuracy …
Three-Dimensional (3d) Reconstruction Of Computed Tomography (Ct) Abdominal Images Using Visualization Toolkit (Vtk),
2020
Universiti Malaya
Three-Dimensional (3d) Reconstruction Of Computed Tomography (Ct) Abdominal Images Using Visualization Toolkit (Vtk), Mat Saad Afifah Husna
Student Works (2020-2029)
A computerized tomography (CT) or computerized axial tomography (CAT) scan combines data from several X-raysito produce a detailed image of structures inside the body. CT scans produce 2D of a “slice” or section of the abdomen but the data can also be used to construct 3-dimensional images. However, CT scan unable to accurately represent the internal structure of soft tissues and soft-tissue lesions. Therefore, using the program in Visualization Tool Kit (VTK) is needed to construct a much more clearer 3D image. To reconstruct 3D images from 2D images of a “slice” or section of abdomen which will be resulting …
Traffic Privacy Study On Internet Of Things – Smart Home Applications,
2020
California Polytechnic State University, San Luis Obispo
Traffic Privacy Study On Internet Of Things – Smart Home Applications, Ayan Patel
Master's Theses
Internet of Things (IoT) devices have been widely adopted in many different applications in recent years, such as smart home applications. An adversary can capture the network traffic of IoT devices and analyze it to reveal user activities even if the traffic is encrypted. Therefore, traffic privacy is a major concern, especially in smart home applications. Traffic shaping can be used to obfuscate the traffic so that no meaningful predictions can be drawn through traffic analysis. Current traffic shaping methods have many tunable variables that are difficult to optimize to balance bandwidth overheads and latencies. In this thesis, we study …
A Novel Path Loss Forecast Model To Support Digital Twins For High Frequency Communications Networks,
2020
University of Nebraska-Lincoln
A Novel Path Loss Forecast Model To Support Digital Twins For High Frequency Communications Networks, James Marvin Taylor Jr.
Department of Electrical and Computer Engineering: Dissertations, Theses, and Student Research
The need for long-distance High Frequency (HF) communications in the 3-30 MHz frequency range seemed to diminish at the end of the 20th century with the advent of space-based communications and the spread of fiber optic-connected digital networks. Renewed interest in HF has emerged as an enabler for operations in austere locations and for its ability to serve as a redundant link when space-based and terrestrial communication channels fail. Communications system designers can create a “digital twin” system to explore the operational advantages and constraints of the new capability. Existing wireless channel models can adequately simulate communication channel conditions with …
Occ Future And Obstacles Under 5g Requirements,
2020
University of Technology, Iraq
Occ Future And Obstacles Under 5g Requirements, Noor Jihad, Sinan Abdul Satar
Emirates Journal for Engineering Research
Telecommunications specifications of the fifth-generation (5 G) are being established to satisfy the rising demands of high-speed broadband networks (i.e., a few tens of Gigabits every second). The 5 G standard derives primarily from a rising number of subscribers and a multitude of various apps, commonly referred to as smart devices, communicating as part of Internet-of-Things (IoT) network For 5 G, a few possible developments such as millimeter waves, large multiple-input multiple-output, and small cell connectivity have appeared. While such technologies will meet 5 G specifications, attention is being given to a complementary potential wireless optical wireless communication (OWC) system. …
Usability And Accessibility Model For E-Government Websites In Ethiopia,
2020
Kennesaw State University
Usability And Accessibility Model For E-Government Websites In Ethiopia, Yoseph Zeleke
African Conference on Information Systems and Technology
The development of websites and portals are main components of the e-Government strategy implementations for the last nine years in Ethiopia. However, services optimizations with usability and accessibility are key issues of Ethiopia e-Government services development.
Therefore, the ultimate goal of this study is creation of usable, accessible and sustainable Ethiopian eGovernment websites with four stage of research analysis, through proposed model. The investigations results are used to provide a clear picture of what needs to be improves from management and user point of views and also from other stakeholders of e-Government services. This study applies mixed methods of data …
Artificial Intelligence Towards Future Industrial Opportunities And Challenges,
2020
Kennesaw State University
Artificial Intelligence Towards Future Industrial Opportunities And Challenges, Gizealew Dagnaw
African Conference on Information Systems and Technology
The industry 4.0 will bring reflective changes to our society, including an important digital shift in the manufacturing sector. At present, several manufacturing firms are trying to adopt the practices of industry 4.0 throughout their supply chain. The Fourth Industrial Revolution and the artificial intelligence at its core are fundamentally changing the way we live, work and interact as citizens. The complexity of this transformation may look overwhelming and to many threatening. Recently, the dramatic growth of new generation information technologies has prompted several countries to seek new strategies for industrial revolution. The globalization and the competitiveness are forcing companies …
Efficient Data Mining Algorithm Network Intrusion Detection System For Masked Feature Intrusions,
2020
Kennesaw State University
Efficient Data Mining Algorithm Network Intrusion Detection System For Masked Feature Intrusions, Kassahun Admkie, Kassahun Admkie Tekle
African Conference on Information Systems and Technology
Most researches have been conducted to develop models, algorithms and systems to detect intrusions. However, they are not plausible as intruders began to attack systems by masking their features. While researches continued to various techniques to overcome these challenges, little attention was given to use data mining techniques, for development of intrusion detection. Recently there has been much interest in applying data mining to computer network intrusion detection, specifically as intruders began to cheat by masking some detection features to attack systems. This work is an attempt to propose a model that works based on semi-supervised collective classification algorithm. For …
Human Behavior Is A Significant Flaw In Maintaining Cyber Security,
2020
Old Dominion University
Human Behavior Is A Significant Flaw In Maintaining Cyber Security, Elizabeth Jackson
Cybersecurity Undergraduate Research Showcase
Human behavior and data security utilization must be intertwined; in order to mitigate the negative effects of cyber attacks. No consumer wants their data hacked, breached, stolen, shared or wiped out. It is imperative to survey the type of education is needed to keep users safe and interested in securing their data. This can be done by simply seeking out the consumer's view of data security. The information obtained would allow the cybersecurity community to offer a simple way for consumers to protect their mobile data. There is a constant interaction between human behavior and the need for increased data …
