The Tweetology of New and Renewable Energy in Indonesia

 The amount of unstructured data is increasing annually, which is promising for gaining insights. Twitter, a platform producing unstructured data, is currently one of the most popular media platforms used for conducting research on a topic's trend. This study attempts to analyze the topic of New and Renewable Energy (NRE) in Indonesia. The purpose of this study is to gain insights into the NRE topic trend over the last ten years by modeling the topics discussed on Twitter and examining the location distribution of users who post tweets about the topic. Accordingly, this study employed descriptive analysis, geocoding analysis, and topic modeling. The results of descriptive analysis show that the development of NRE has accelerated in recent years, particularly in 2021. Geocoding analysis reveals that the distribution of people who engage in NRE posting activities is dominated by DKI Jakarta province. Topic modeling yielding two topics that were discussed the most by Indonesians over a 10-year period. The two topics are related to government policies that support the development of NRE and electricity, which is Indonesia's focus in NRE. This study highlights the importance of analyzing the Tweetology of NRE

Wearable and BAN Sensors for Physical Rehabilitation and eHealth Architectures

The demographic shift of the population towards an increase in the number of elderly citizens, together with the sedentary lifestyle we are adopting, is reflected in the increasingly debilitated physical health of the population. The resulting physical impairments require rehabilitation therapies which may be assisted by the use of wearable sensors or body area network sensors (BANs). The use of novel technology for medical therapies can also contribute to reducing the costs in healthcare systems and decrease patient overflow in medical centers. Sensors are the primary enablers of any wearable medical device, with a central role in eHealth architectures. The accuracy of the acquired data depends on the sensors; hence, when considering wearable and BAN sensing integration, they must be proven to be accurate and reliable solutions. This book is a collection of works focusing on the current state-of-the-art of BANs and wearable sensing devices for physical rehabilitation of impaired or debilitated citizens. The manuscripts that compose this book report on the advances in the research related to different sensing technologies (optical or electronic) and body area network sensors (BANs), their design and implementation, advanced signal processing techniques, and the application of these technologies in areas such as physical rehabilitation, robotics, medical diagnostics, and therapy

Fast and Secure Updatable Encryption

Updatable encryption allows a client to outsource ciphertexts to some untrusted server and periodically rotate the encryption key. The server can update ciphertexts from an old key to a new key with the help of an update token, received from the client, which should not reveal anything about keys or plaintexts to an adversary. We provide a new and highly efficient suite of updatable encryption schemes that we collectively call SHINE. In the variant designed for short messages, ciphertext generation consists of applying one permutation and one exponentiation (per message block), while updating ciphertexts requires just one exponentiation. Variants for longer messages provide much stronger security guarantees than prior work that has comparable efficiency. We present a new confidentiality notion for updatable encryption schemes that implies prior notions. We prove that SHINE is secure under our new confidentiality definition while also providing ciphertext integrity

SGSI en la gestión de riesgos en el área de infraestructura y operaciones en una entidad pública, Callao 2023

El presente estudio tiene como objetivo general, determinar la influencia de un SGSI en la gestión de riesgos en el área de infraestructura y operaciones en una entidad pública, callao 2023. Debido a ello, para la implementación del SGSI nos apoyamos en la metodología NTP ISO/IEC 27001:2014, el tipo de investigación es aplicada, el diseño es pre-experimental y de enfoque cuantitativo. Los resultados demostraron que un SGSI reduce el nivel de probabilidad en la gestión de riesgos de 2.54 puntos a 1.47 puntos, lo que equivale una reducción del 21.4%. Igualmente, se demostró que un SGSI influye de manera positiva reduciendo en el nivel de riesgo en la gestión de riesgos de 10.30 puntos a 5.98 puntos, lo que equivale a una reducción de 17.28%. De la misma manera se demostró que un SGSI influye de manera positiva incrementando el número de controles aplicados en la gestión de riesgos de 79.82% (91 controles), subió a 99.12% (113 controles), mostrando un claro incremento de 12 controles, lo que equivale a un 17.28%. Debido a los resultados, se concluye que un SGSI mejora la gestión de riesgos en el área de infraestructura y operaciones en una entidad pública, Callao 2023