Federated AI for building AI Solutions across Multiple Agencies

The different sets of regulations existing for differ-ent agencies within the government make the task of creating AI enabled solutions in government dif-ficult. Regulatory restrictions inhibit sharing of da-ta across different agencies, which could be a significant impediment to training AI models. We discuss the challenges that exist in environments where data cannot be freely shared and assess tech-nologies which can be used to work around these challenges. We present results on building AI models using the concept of federated AI, which al-lows creation of models without moving the training data around.Comment: Presented at AAAI FSS-18: Artificial Intelligence in Government and Public Sector, Arlington, Virginia, US

A blockchain based architecture for asset management in coalition operations

To support dynamic communities of interests in coalition operations, new architectures for efficient sharing of ISR assets are needed. The use of blockchain technology in wired business environments, such as digital currency systems, offers an interesting solution by creating a way to maintain a distributed shared ledger without requiring a single trusted authority. In this paper, we discuss how a blockchain-based system can be modified to provide a solution for dynamic asset sharing amongst coalition members, enabling the creation of a logically centralized asset management system by a seamless policy-compliant federation of different coalition systems. We discuss the use of blockchain for three different types of assets in a coalition context, showing how blockchain can offer a suitable solution for sharing assets in those environments. We also discuss the limitations in the current implementations of blockchain which need to be overcome for the technology to become more effective in a decentralized tactical edge environment

Intra-group tension under inter-group conflict: a generative model using group social norms and identity

Group behavior is an important feature of conflict scenarios. Often such groups are chaotically organized, but their ideals are sociologically embedded across members such that the group has expected behavior that can represent a major threat. Therefore being able to model the evolution of groups on a generative basis, to anticipate their possible mutation, is valuable. However this is complex due to the diverse nature of human behavior and scenarios. In this paper we present an innovative approach to modeling these issues. Group identities are represented in terms of the behaviors (social norms) that members are expected to carry out towards other groups. Individuals predominantly compose their identity from the identity of the groups to which they belong, which is known to occur in situations of heightened conflict. The model introduced enables exploration of tensions associated with affiliation to multiple groups and the influence on inclusion and exclusion of individuals

From evolution to revolution: understanding mutability in large and disruptive human groups

Over the last 70 years there has been a major shift in the threats to global peace. While the 1950's and 1960's were characterised by the cold war and the arms race, many security threats are now characterised by group behaviours that are disruptive, subversive or extreme. In many cases such groups are loosely and chaotically organised, but their ideals are sociologically and psychologically embedded in group members to the extent that the group represents a major threat. As a result, insights into how human groups form, emerge and change are critical, but surprisingly limited insights into the mutability of human groups exist. In this paper we argue that important clues to understand the mutability of groups come from examining the evolutionary origins of human behaviour. In particular, groups have been instrumental in human evolution, used as a basis to derive survival advantage, leaving all humans with a basic disposition to navigate the world through social networking and managing their presence in a group. From this analysis we present five critical features of social groups that govern mutability, relating to social norms, individual standing, status rivalry, ingroup bias and cooperation. We argue that understanding how these five dimensions interact and evolve can provide new insights into group mutation and evolution. Importantly, these features lend themselves to digital modeling. Therefore computational simulation can support generative exploration of groups and the discovery of latent factors, relevant to both internal group and external group modelling. Finally we consider the role of online social media in relation to understanding the mutability of groups. This can play an active role in supporting collective behaviour, and analysis of social media in the context of the five dimensions of group mutability provides a fresh basis to interpret the forces affecting groups

Recent research and developments of degradation assessment and its diagnosis methods for solar PV plant: a review

The world is moving forward to a transition in the form of increasing the contribution of renewable energy sources in the energy sector, and among these, solar photovoltaic-based power generation is catching pace. Several factors are responsible for the lowering of outputs due to different degradation causes such as hotspots, corrosion, humidity, ultraviolet (UV) irradiation, temperature effects, dust, aging, weathering, yellowing, snail trails, discoloration, junction box failure, delamination, cracks, and faults from the solar photovoltaic (PV) plants. This paper presents a comprehensive review of the various form of degradation and their implications on solar PV power plant performance. The review has been carried out considering the different degradation causes and their identification methods in solar PV plant. Further, the analysis has been done on the basis of the earlier studies to understand the rates of degradation for various solar PV power plants in various climatic conditions. The PV technologies used in solar power plants are also responsible for the change in the performance of power plants over time; therefore, degradation based on different solar PV cell technologies is also analyzed. The visual inspection tools like thermal imaging with IR cameras help identify areas with abnormal heat patterns, indicating potential issues like cell or interconnect failures, loose electrical connections, or bypass diode malfunctions while EL cameras are used to identify low-level electrical excitation and defects such as cracks, hotspots, and cell-level degradation

A comparative evaluation of I-gel and laryngeal mask airway supreme in laparoscopic surgeries: a randomized comparative study

Background: Supraglottic airway device results in less hemodynamic responses during laparoscopic surgery but supraglottic airway device to be used should have higher oropharyngeal seal pressure than peak pressure for effective ventilation as laparoscopic surgery also leads to higher airway pressure. In this study the efficiency of the I-gel with SLMA is compared in patients undergoing laparoscopic cholecystectomy surgeries.Methods: Sixty patients were randomized in to two groups, group A where I-gel was considered for airway management and group B where LMA Supreme was the device chosen for airway management.Results: Oropharyngeal seal pressure was significantly lower in group A than group B, 5 minutes after insertion of airway device it was 24.90±3.03 cm H2O and 27.30±3.41 cm H2O in group A and group B, respectively and 5 minutes after creation of pneumoperitoneum it was 25.53±3.17 cm H2O and 27.57±3.36 cm H2O in group A and group B, respectively. There was significant difference in the difference between inspiratory and expiratory tidal volume between the groups at all the time periods being higher in group A than group B. Hemodynamics were comparable between the two groups. Time taken to insert the airway device and Ryle’s tube insertion was significantly lesser in group B in comparison to group A. The percentage of complications was higher in group A than group B with no significant (p>0.05) association.Conclusions: Both the I-gel and SLMA devices can be used safely in laparoscopic cholecystectomy in non-obese patients. But in SLMA group oropharyngeal seal pressure was higher with lesser leak volume in comparison to I-gel group

Response of RLC network circuit with steady source via rohit transform

The electric network circuits are designed by using the elements like resistor R, inductor L, and capacitor Ϲ. There are a number of techniques: exact, approximate, and purely numerical available for analyzing the R L Ϲ network circuits. Since the application of numerical method becomes more complex, computationally intensive, or needs complicated symbolic computations, there is a need to seek the help of integral transform methods for analyzing the RLϹ network circuits. Integral transform methods provide effective ways for solving a variety of problems arising in basic sciences and engineering. In thispaper, a new integral transform Rohit transform is discussed for obtaining the response of a series RLϹ electric network circuit connected to a steady voltage source, and a parallel R L Ϲ electric network circuit connected to a steady current source. The response of a series R L Ϲ network circuit connected to a steady voltage source via the application of Rohit transform will provide an expression for the electric current, and that of a parallel R L Ϲ network circuit connected to a steady current source will provide an expression for the voltage across the parallel RLϹ electric network circuit. The nature of the response of such series (or parallel) network circuits is determined by the values of R, L, and Ϲ of the electric network circuit. The Rohit transform will come out to be a powerful technique for analyzing such series or parallel electric network circuits with steady voltage or current sources