INFORMATION AND THE ADOPTION OF PRECISION FARMING TECHNOLOGIES

Precision farming technologies have been commercially available since the early 1990s, but the pace of adoption among U.S. farmers has been modest. This study examines the relationship between the adoption of diagnostic and application techniques of precision farming and sources of information available to farmers about precision farming. The model used in the analysis accounts for sources of self-selection in the adoption process that could bias the results. Results indicate interpersonal information sources have increased adoption relative to information from the mass media, and the private sector has been the driving force behind the diffusion of precision farming. Information from crop consultants and input suppliers has had the greatest impact on the adoption of precision farming technologies. These sources likely provide the greatest technical expertise about precision farming, and thus are better equipped to ease the significant human capital requirement of precision farming technologies.information sources, logit analysis, precision farming, self-selection bias, technology adoption, Farm Management, Research and Development/Tech Change/Emerging Technologies,

Security Trust Zone in 5G Networks

Fifth Generation (5G) telecommunication system is going to deliver a flexible radio access network (RAN). Security functions such as authorization, authentication and accounting (AAA) are expected to be distributed from central clouds to edge clouds. We propose a novel architectural security solution that applies to 5G networks. It is called Trust Zone (TZ) that is designed as an enhancement of the 5G AAA in the edge cloud. TZ also provides an autonomous and decentralized security policy for different tenants under variable network conditions. TZ also initiates an ability of disaster cognition and extends the security functionalities to a set of flexible and highly available emergency services in the edge cloud

DECOMPOSING THE SIZE EFFECT ON THE ADOPTION OF INNOVATIONS: AGROBIOTECHNOLOGY AND PRECISION FARMING

This study contrasts the relationship between farm-size and adoption for two types of innovations, genetically engineered crops and precision farming, controlling for other factors. The analysis uses an extension of the McDonald and Moffit decomposition for the two-limit Tobit model.Research and Development/Tech Change/Emerging Technologies,

Propane Dehydrogenation Using Transition Metal Cluster Catalysts

Our research seeks to determine the propane dehydrogenation (PDH) reaction pathways using various transition-metal cluster catalysts. We are studying the first step of the reaction, in which a C-H bond is broken. This has been previously shown to be the rate-limiting step of the PDH reaction. We are calculating the PDH activation energy (Ea) using the Vienna Ab-Initio Simulation Package (VASP) in conjunction with the nudged elastic band algorithm. Thus far, we have studied Pt, Ta, and Ni clusters ranging in size from 2-10 atoms. Our goal is to better understand the dependence of Ea on metal type and cluster size

Unsupervised Named-Entity Recognition: Generating Gazetteers and Resolving Ambiguity

In this paper, we propose a named-entity recognition (NER) system that addresses two major limitations frequently discussed in the field. First, the system requires no human intervention such as manually labeling training data or creating gazetteers. Second, the system can handle more than the three classical named-entity types (person, location, and organization). We describe the system’s architecture and compare its performance with a supervised system. We experimentally evaluate the system on a standard corpus, with the three classical named-entity types, and also on a new corpus, with a new named-entity type (car brands)

Context-Awareness Enhances 5G Multi-Access Edge Computing Reliability

The fifth generation (5G) mobile telecommunication network is expected to support Multi- Access Edge Computing (MEC), which intends to distribute computation tasks and services from the central cloud to the edge clouds. Towards ultra-responsive, ultra-reliable and ultra-low-latency MEC services, the current mobile network security architecture should enable a more decentralized approach for authentication and authorization processes. This paper proposes a novel decentralized authentication architecture that supports flexible and low-cost local authentication with the awareness of context information of network elements such as user equipment and virtual network functions. Based on a Markov model for backhaul link quality, as well as a random walk mobility model with mixed mobility classes and traffic scenarios, numerical simulations have demonstrated that the proposed approach is able to achieve a flexible balance between the network operating cost and the MEC reliability.Comment: Accepted by IEEE Access on Feb. 02, 201

Automatic Dream Sentiment Analysis

In this position paper, we propose a first step toward automatic analysis of sentiments in dreams. 100 dreams were sampled from a dream bank created for a normative study of dreams. Two human judges assigned a score to describe dream sentiments. We ran four baseline algorithms in an attempt to automate the rating of sentiments in dreams. Particularly, we compared the General Inquirer (GI) tool, the Linguistic Inquiry and Word Count (LIWC), a weighted version of the GI lexicon and of the HM lexicon and a standard bag-of-words. We show that machine learning allows automating the human judgment with accuracy superior to majority class choice

INFORMATION AND THE ADOPTION OF PRECISION FARMING

This study examines the relationship between precision farming information sources and precision farming adoption. The analysis accounts for the fact that not all farmers are aware of precision farming techniques and that those who are aware may not be a random sample. Results indicate that many information sources increase adoption relative to information only from the media, but contact with crop consultants has had the greatest impact on the adoption of precision farming technologies.Farm Management,