Seawater for toilet flushing conserves the scarce freshwater resources in Hong Kong and similar densely-populated coastal cities. Saline sewage treatment using energy-efficient anammox-based processes appears to be beneficial, with notable potential future. However, feasibility of this process remains uncharted, especially from its start-up steady-state cooperation. In study, a pilot-scale mainstream anammox was succeeded granular activated carbon fluidized-bed membrane bioreactor (FMBR)...

Purpose Differences in institutional environment and governance structures pave the way for heterogeneous nature of different businesses; this, turn, shapes various sections society act toward each other enacting their responsibilities. Taking into account unique firms developing economies, this paper aims to build on “stakeholder theory” address issue implementation corporate social responsibilities (CSR) practices these particularly India. This also uncover saliency (legitimacy power)...

The usage of Electronic Health Records (EHR) is becoming increasingly widespread globally. However, there are several issues with the current EHR systems, particularly in terms privacy and security. Some major challenges faced by systems limited infrastructure, shortage trained healthcare personnel, lack funding, usability, data privacy, proper planning access to technology. proposed solution addresses many these problems utilizing a public Ethereum blockchain connect hospitals, patients,...

In both adult and paediatric imaging, musculoskeletal radiographs provide a significant depth of knowledge in treating illnesses or injuries the joints, bones, muscles, spine. Because disorders affect over 1.7 billion people, detecting anomalies investigations is difficult. this project, artificial intelligence will be utilised to categorise images from X-ray equipment elbow, finger, humerus, shoulder, wrist as fracture nonfracture. The performance five deep learning-based pretrained models...

In the realm of artificial intelligence (AI), fusion A.I. voice assistants with home automation has revolutionized way humans interact and control their living spaces. assistants, powered by sophisticated natural language processing algorithms, seamlessly interpret user commands queries, enabling a fluid intuitive communication channel between individuals smart homes. Through advanced machine learning models, these continually evolve, adapting to preferences refining capabilities over time....

Purpose This paper aims to examine the role of technology-enabled leadership (TEL) in achieving performance-enhancement outcomes. empirical investigation is from a dynamic capabilities perspective. Design/methodology/approach A conceptual framework presents general model with an overarching theory. The research defines key variables – macroeconomic turbulence (MET), TEL, analytics-based responsiveness (ABR), knowledge-driven innovation (KDI) and performance enhancement outcomes (PEOs)....

Direct Sequence Spread Spectrum is a modulation scheme which characterized by Pseudo Noise (PN) code. PN Sequences have the property of being like random noise with very low correlation to any other sequence in set. Chaotic are easy generate, difficult intercept and added advantage large number compared traditional sequences Gold, Kasami, Bernoulli etc. This paper presents generation optimum chaotic spreading codes using Genetic Algorithm compares performance terms Bit Error Rate (BER),...

Surface roughness is a crucial parameter for the estimation of soil moisture (SM). The present study attempted to optimize surface (h) SM from Soil Moisture Active Passive (SMAP) using tau–omega (τ-ω) model and also downscaled estimated product polynomial regression relation among Normalized Difference Vegetation Index (NDVI), land temperature (LST), SM. brightness SMAP available at two spatial resolutions (36 9 km) was used seasons intended assessment. After assessment with in-situ data,...

The sensitivity of the bistatic scattered signal to both soil and vegetation physical properties in microwave sensing is subject uncertainties. A multi-angular fully polarimetric data acquisition from a system increases number observations. Thus, optimum parameters for monitoring are necessary develop an understating interactions with surface properties. In this study, C-band scatterometer (BiSCAT) was designed measure scattering response vegetated terrain forward specular plane. correlation...

Optical Wireless Communication (OWC) channel is for inter-satellite communication. It used as a subsystem of two telescopes or the wireless communication between satellites. best suited modeling satellite-satellite and earth-satellite links. The OWC channels are zero attenuation loss caused by atmospheric effects no propagation delay Signal delay. In this paper we basically deal with designing link system. Further, comparative study has been made to ascertain which modulation technique...

Physical layer Key generation is an attractive and recent alternative to achieve security in wireless networks. However, like other algorithms, performance of physical key depends on randomness attained by generated keys. In this paper, different types random tests Frequency test, Serial Entropy test etc. are described suitability NIST statistical suite for discussed. Furthermore, various applications also briefly described. Since secrecy crucial communication, a simulation model developed...

Routing algorithms play a crucial role in the efficient transmission of data within computer networks by determining optimal paths for packet forwarding. This paper presents comprehensive exploration routing algorithms, focusing on their fundamental principles, classification, challenges, recent advancements, and practical applications. Beginning with an overview significance modern communication networks, delves into historical evolution tracing development from early approaches to...

The demand for efficient large integer polynomial multiplications in present day crypto-systems is the need of hour. Karatsuba-like multiplication one most algorithm discussed this work. However, mostly practically avoided due to presence complex sub-multiplications at intermediate steps computation. Thus, efforts has been made implement two-term Karatsuba Multiplication (Method-I & Method-II), i.e., TTKM-I and TTKM-II terms speed hardware utilization. overall performance proposed design...

Summary Cloud computing is commonly utilized in remote contexts to handle user demands for resources and services. Each assignment has unique processing needs that are determined by the time it takes complete. However, if load balancing not properly managed, effectiveness of may suffer dramatically. Consequently, cloud service providers have emphasize rapid precise as well proper resource supply. This paper proposes a novel enhanced deep network‐based predictor cloud‐fog In prior, workload...