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NPS President, WEST Panelists Emphasize Education, Innovation As Paths to Decision Advantage
No full textShip-Based Unmanned Aircraft System (UAS)
Get PDFNPS NRP Executive SummaryThe U.S. Navy and Coast Guard are analyzing what unmanned aircraft system (UAS) to use for intelligence, surveillance, and reconnaissance (ISR) missions off their destroyer and cutter-sized ships. This research analyzed five persistent gaps among various UAS/sensor combinations. The resulting analysis using linear programing resulted in recommendations for a primary and secondary combination to be examined more closely for future UAS options. Recommendations for additional work are also made to determine how this research may be taken forward in the future.Approved for public release. Distribution is unlimited.This research is supported by funding from the Naval Postgraduate School, Naval Research Program (PE0605853N/2098). https://nps.edu/nrpChief of Naval Operations (CNO)U.S. Fleet Forces Command (USFLTFORCOM
Honoring the Service of Admiral James Frank Caldwell, Jr.
No full textHe later pursued, and received, a Master of Science in Operations Research from the Naval Postgraduate School.Mr. COURTNEY. Mr. Speaker, I rise today to honor the distinguished service of Director of the Naval Nuclear Propulsion Program, Admiral James Frank Caldwell, Jr. This month, Admiral Caldwell is slated to retire after over eight years as head of the program, which was only one part of an amazing forty-two-year career in the Navy. The longevity of his service was recognized by the U.S. Navy when he attained the respected title of ‘‘Old Goat’’ for the longest serving graduate of the U.S. Naval Academy on August 31, 2022. His talented, outstanding dedication to his country, as well as his expertise, will leave a momen tous, far-reaching legacy that will live on for many years to come
THE EFFECTS OF KNOWLEDGE TRANSFER TECHNOLOGY UTILIZATION ON INTERORGANIZATIONAL PERFORMANCE WITH THE MEDIATING ROLES OF PEOPLE AND ORGANIZATIONAL STRUCTURE
Get PDFThis dissertation examines the impact of Information and Communication Technology (ICT) utilization, along with organizational support structure and people, on interorganizational performance, positing that the interaction among these three primary factors enables optimal knowledge and information–transfer processing. The current study focuses on the problem faced by the Indonesian Maritime Information Center (IMIC) system that is unable to share and exchange knowledge and information rapidly and reliably to build collaborative advantage and improve interorganizational performance. Using inferential statistics and structural equation modeling to test the hypotheses, this study develops a model of interorganizational knowledge transfer capacity. It investigates the fit and interaction between knowledge transfer technology with the mediating factors of the organizational support structure and people required for knowledge transfer, as well as determines how these factors and their interdependencies relate to and may impact interorganizational performance. This study corroborates that the implementation and utilization of ICT alone do not significantly contribute to the improvement of interorganizational performance without considering the structural equation model’s goodness of fit with the other organizational factors. Hence, further research is necessary to realize the potential of ICT to improve interorganizational performance.Distribution Statement A. Approved for public release: Distribution is unlimited.Commander, Indonesian Nav
STRATEGIC USE OF COMMERCIALLY AVAILABLE INFORMATION FOR AGILE DECISION-MAKING: IMPROVING GOVERNMENT AND INTELLIGENCE COMMUNITY CAPABILITIES
No full textIn the race for information dominance, the USA competes with China and other adversaries over data and emerging technologies like AI. While AI has tremendous potential to enable myriad intelligence activities, it is not a panacea and relies heavily on high-quality data. Commercially Available Information (CAI), a unique and largely untapped data source, is created by private companies, public entities, and individuals and has immense mission value but poses significant challenges in accessibility due to its scale and variety. This raises a key question: how can the Intelligence Community (IC) effectively acquire CAI as a strategic resource tailored to specific needs at the speed of mission? This qualitative research examines the interplay between AI, data, CAI, the data broker ecosystem, and various data provision models. Data brokers play a crucial role in bridging the gap between data producers and the IC, enabling efficient CAI acquisition. However, the ecosystem is complex, offering diverse models with distinct strengths and weaknesses. Selecting the right model is key to ensuring data quality and creating meaningful intelligence products. To unlock CAI’s potential, the IC must identify and collaborate with trustworthy data brokers, prioritizing transparency in data provenance, verification, and maintenance. Without proper vetting, accessing large volumes of data risks exposing the IC to outdated or irrelevant information, leading to inaccurate results.Distribution Statement A. Approved for public release: Distribution is unlimited.Oberstleutnant, German Arm
AUKUS: A CHAIN REACTION? THE DOMINO EFFECT OF SUBMARINE POWER IN THE INDO-PACIFIC
No full textThis thesis explores the ramifications of the AUKUS partnership on Japan’s military modernization efforts, specifically the potential shift towards nuclear-powered submarines, and the broader implications for regional and global security dynamics. The research evaluates Japan’s strategic recalibrations in response to AUKUS and related Indo-Pacific developments by employing Balance of Power theory and integrating elements of classical realism, liberal internationalism, and constructivism. The study also explores—but does not conclusively determine—whether AUKUS’s capabilities-driven framework or its emphasis on solidarity and cohesion exerts a greater influence on Japan’s defense strategy. Key findings indicate that AUKUS enhances regional deterrence against China and aligns with Japan’s broader security objectives. It accelerates Japan’s balancing efforts, notably in submarine modernization and maritime security cooperation, while simultaneously amplifying domestic debates on the nation’s nuclear allergy and constitutional constraints. This thesis also concludes that AUKUS has a role in encouraging multilateral frameworks and forecasts implications for associated regional middle powers. These findings have implications for policymakers assessing the domino effects of AUKUS on non-proliferation and regional stability within the global security architecture.This thesis is part of a larger study under the NPS Naval Research Program (NRP) Project (IREF) ID NPS-24-N032-A.Distribution Statement A. Approved for public release: Distribution is unlimited.Lieutenant, United States NavyNPS Naval Research ProgramThis project was funded in part by the NPS Naval Research Program
TESTING AND IMPROVING A TOPOLOGICAL DATA ANALYSIS APPROACH TO SIGNAL SOURCE ENUMERATION IN ARRAY SIGNAL PROCESSING
No full textArray processing has led to breakthroughs in numerous sensor technologies, such as radar and sonar, because an array of sensors is more capable than a single, isolated sensor. A ubiquitous requirement in array processing is estimating the number of source signals, with the most popular methods being Akaike information criterion (AIC) and minimum description length (MDL). These methods are reliable under ideal circumstances, though certain conditions cause them to fail. In “Topological Estimation of Number of Sources in Linear Monocomponent Mixtures,” Kennedy et al. propose a topology-rooted approach that has the potential to fill these performance gaps. This thesis investigates the implementation of this method, explores ways to improve and make it more robust, and then conducts testing against the traditional methods. The method achieved accurate estimations at 3 dB SNR and demonstrated superior performance to AIC/MDL when the relative number of receivers to signals was low and when one receiver had anomalous noise levels. However, the topological approach performed poorly when the signals exhibited a high dynamic range, so we developed a modification that performed almost as well as AIC/MDL in that particular scenario but experienced similar pitfalls. The results demonstrated that no one approach exhibited universally superior performance and that an ensemble of techniques should be used for the best performance across a wide scope of scenario parameters.Distribution Statement A. Approved for public release: Distribution is unlimited.Lieutenant, United States Nav