Merging Of Technologies Research Articles

Analysis of Technology Mergers and Acquisitions on Enterprises’ Green Technology Innovation: Moderating Effects of Environmental Regulation and Environmental Uncertainty

Analysis of Technology Mergers and Acquisitions on Enterprises’ Green Technology Innovation: Moderating Effects of Environmental Regulation and Environmental Uncertainty

Chatbot: Music Recommendation System

This paper presents the development of a Chatbot Music Recommendation System that utilizes artificial intelligence to enhance user engagement through personalized music suggestions. The system operates on two primary mechanisms: passive recommendations based on contextual factors such as time of day and weather conditions, and interactive suggestions during user engagement. By integrating real-time data from external APIs, the chatbot can provide relevant song recommendations tailored to the user's environment, such as upbeat tracks for sunny days or calming melodies for rainy weather. Additionally, the system employs natural language processing techniques to understand user preferences and emotions, allowing it to refine its recommendations over time. A comprehensive evaluation of the system's performance is conducted through user feedback and interaction metrics, demonstrating its effectiveness in improving the music discovery experience. The findings indicate that the chatbot not only enhances user satisfaction but also fosters a deeper emotional connection with music. This research contributes to the field of music recommendation systems by merging technology with user-centric design, ultimately transforming how individuals interact with music in their daily lives

TCL Technology's Merger and Acquisition of Central Electronics: Analysis of Corporate M&A and Restructuring Strategies

Benefiting from national policy support and market economy, China's semiconductor industry has made significant progress in technological innovation, especially in the context of 5G, smart Internet and big data era, the center of gravity of the industry is shifting from South Korea and Taiwan to mainland China.Through the acquisition of Azeus, which is equipped with profound semiconductor packaging and testing technology, TCL Technology aims to enhance its competitiveness in the semiconductor field, optimize supply chain management and improve product quality control capability. supply chain management and improve product quality control. This paper examines TCL's acquisition of Azeus and discusses six aspects of the acquisition: overview of the two parties, industry background, progress of the acquisition, performance evaluation (including financial and non-financial), risk analysis, and characteristics of the acquisition. The results show that the acquisition has had a positive impact on TCL's development in semiconductors and related fields.

다이나믹어포던스와 디지털파라메트릭 융합디자인 연구 - 공기 청정기 홀커버 디자인을 중심으로

This study was inspired by the trend in contemporary production design that is encapsulated by the term “convergence.” Design, technology, and sensibility are extensively integrated into product design, forming a new methodology that enables designers to effectively attract and engage consumers. This methodology uses behavior induction, based on the concept of affordance from cognitive psychology, and a mathematical-function method called digital parametrics to amplify the affordance. This allows designers to focus on logical, mathematical methods and move away from traditional sensitive approaches. This represents the merging of analog and digital technologies and serves as a foundational effort to integrate artificial intelligence into the design field. A new concept for an air-cleaner design was developed by incorporating various functions into the basic pattern design. This parametric concept is expected to find wide application in product design in the future, as user diversity and cultural shifts become even more pronounced.

Protecting Judicial Decisions in the Age of Artificial Intelligence A New Challenge to the Rule of Law

In a world where a large percentage of children are learning how to interact expertly with electronic devices and navigate mobile operating systems before they can even speak, and have grown up with the non-existence of the idea of “disconnecting” with the constant flow of content on the screen, it is no longer possible to reject development and adapt to the requirements of the new stage as we are on the brink of the fifth industrial revolution [1] in which artificial intelligence technologies merge with the work of the human element, and robots coexist with humans. Whatever the name given to the next technological era, and whatever the number it will be labeled with, it will be the last era of inventions and discoveries that humans alone will accomplish exclusively. This prompts experts in the field to consider that “merging with artificially intelligent technology will be like learning how to live with a new gender” [2]. In recent years in particular, artificial intelligence technology has achieved remarkable successes that have proven its pioneering capabilities, and the discussion about it has not remained confined to academic circles, but has occupied the front rows in the halls of official decision-making, and competing voices have risen around it from the highest platforms [3]. The contributions of AI technologies to combating the coronavirus pandemic are still fresh in our minds. Robots have been used to reduce human contact; there are nursing robots, delivery robots, surveillance drones, sterilizing robots, and mobile robots that detect infected people on the street. Big data technologies are also being used to examine surveillance cameras on the streets to recognize faces, as happened in China, where an algorithm combines the health record, the criminal file, and the public transport travel map to identify all the people who have been in contact with the infected person, and quarantine him as a result [4]. Because this reality has begun to cast its shadow on the judicial systems with the entry of artificial intelligence systems into the justice sector, imposing its challenges on them, and even throwing its problems in their face, the judicial decision has become facing serious challenges that raise legitimate questions on the research table, the answers to which converge with the strategic direction of Oman Vision 2040 in the field of legislation, judiciary, and oversight in terms of strengthening the rule of law in society and achieving community security, and in general, it addresses the application of the foundations of governance in the organization of legislation and judiciary, and revolves around the extent of the benefit of introducing artificial intelligence systems in the stage of preparing the judicial decision and the limits of this benefit on the one hand (section one), and the extent of the possibility of using these systems in the stage of building the judicial decision itself on the other hand (section two).

The promise of artificial intelligence in health: Portrayals of emerging healthcare technologies

AbstractEmerging technologies of artificial intelligence (AI) and automated decision‐making (ADM) promise to advance many industries. Healthcare is a key locus for new developments, where operational improvements are magnified by the bigger‐picture promise of improved care and outcomes for patients. Forming the zeitgeist of contemporary sociotechnical innovation in healthcare, media portrayals of these technologies can shape how they are implemented, experienced and understood across healthcare systems. This article identifies current applications of AI and ADM within Australian healthcare contexts and analyses how these technologies are being portrayed within news and industry media. It offers a categorisation of leading applications of AI and ADM: monitoring and tracking, data management and analysis, cloud computing, and robotics. Discussing how AI and ADM are depicted in relation to health and care practices, it examines the sense of promise that is enlivened in these representations. The article concludes by considering the implications of promissory discourses for how technologies are understood and integrated into practices and sites of healthcare.

Generation of digital value through dynamic material hermeneutics: A postphenomenological analysis of human-technology relations with digital goods

This paper examines how meaning and value are derived for digital goods from a consumer perspective. It applies a postphenomenological framework to analyze the relationships between humans, digital technologies, and digital goods/virtual worlds. Postphenomenology is expanded into the concept of "dynamic material hermeneutics" to account for the recursive, adaptive roles technologies and digital goods play in mediating experiences. Four postphenomenological relationship modes are identified - embodiment, hermeneutics, background, and alterity - and it is argued these relationships generate moments of meaning formation. By separating digital goods from the technologies used to access them, their potential for materialization and possession is explored. This involves four relationship modes: embodiment (where technologies merge with users' experiences), hermeneutics (interpretation of digital goods through technology), background (socio-cultural contexts of technologies), and alterity (distinctiveness of technologies). These interactions contribute to value creation by fostering interpretive dynamics and communal understanding within cultural-technical frameworks, emphasizing that meaning formation through these mediated experiences is central to the perceived worth of digital goods.

Deus Ex Machina: Sophia Robot Techno Deity

ABSTRACT Sophia, the world’s most recognized humanoid social robot, is a performer in an unfolding narrative central to our historical moment—the technological transfiguration of the planet. She is a performance medium, an alluring protagonist, exemplar, harbinger, and coevolutionary vector of a dramatic event being played out in real-time: the merging of humans and technology and a new way of being. The world is her stage, and we participate in an all-encompassing immersive event that retraces mythic narrative patterns as old as humanity: the myth of the goddess who appears to guide and comfort at a time of profound change in an increasingly accelerating and complex world.

Enhancing student engagement through emerging technology integration in STEAM learning environments

AbstractEmerging technologies can potentially transform education through student engagement. The aim of our study is threefold. Firstly, we aspired to examine the validity and reliability of Reeve and Tsengs’ 4-construct (emotional, behavioral, cognitive, and agentic) engagement scale (EBCA scale). Secondly, we aimed to examine whether and to what extent the integration of emerging technology through virtual simulations (VS) in STEAM activities can improve students’ perceived engagement. Thirdly, we strived to examine how the order of integration of VS in STEAM activities affects students’ perceived engagement. A cross-over research design was used. 84 primary school students (9–10 years old) were assigned to one of the following conditions: STA (science + technology + art); SA (science + art); STA + SA; and SA + STA. The results showed that the 4-factor EBCA scale model is aligned and fits the overall sample well. It was also observed that the longer students are involved in STEAM activities, the better their perceived engagement is, and the more they work on VS, the more they develop the values of attentive listening, directing attention, and investing effort in learning. The order of integration of VS affects perceived engagement, and students who learn with them first perceive engagement better. One of the implications of our study is to examine the metric characteristics of the EBCA scale on different samples as well. Other recommendations are stated in the discussion.

Smart innovations in structural health monitoring through wireless sensing technologies

The article examines the current developments in structural health monitoring (SHM), emphasizing innovative inventions made possible by wireless sensing techniques. Wireless Sensing Technologies (WST) make use of detectors that do not require wiring to collect and communicate data wirelessly, allowing for automation, real-time information, and remote monitoring. SHM combined with WST enables continuous data collecting, cost-effective servicing, and quick detection of possible structural concerns. IoT is becoming an essential technique for monitoring systems as a consequence of the quick development of technologies for sensing like radio-frequency identification as well as sensors and the merging of computer technologies like internet and wireless communication. To provide smart and trustworthy monitoring, the present work discusses and presents an architecture for SHM utilizing IoT technologies. Particularly, technologies related to the creation of SHM systems and IoT environments are given, along with data routing strategies. Big data systems are being created to assist with the complicated and vast amount of data acquired from devices mounted on structures because sensors are generating data more quickly and voluminously than ever.

Can green technology mergers and acquisitions enhance sustainable development? Evidence from ESG ratings

AbstractIn order to better understand the impact of green technology mergers and acquisitions (GTMA) on sustainable development, the difference‐in‐differences model is applied to investigate the direct impact and underlying mechanisms of GTMA on the environment, society, and governance (ESG) in China. Additionally, we established a two‐dimensional framework of “market versus government” to analyze the heterogeneity. The results show that: (1) GTMA is positively aligned with greater ESG performance, indicating that GTMA is an effective way to enhance sustainable development. (2) GTMA fosters ESG performance by boosting green subsidies (i.e., signal transmission channel), lowering financing costs (i.e., impression management channel), and enhancing green innovation (i.e., technology synergy channel). (3) The positive relationship is largely dependent on the collaborative supervision environment (i.e., “strong” market and “strong” government) and the appropriate policy environment (i.e., “big” market and “small” government). (4) Furthermore, GTMA carries significant spillover effects, with other enterprises in the same industry improving their ESG performance. Additionally, this paper proposes targeted directions for the government and enterprises to take advantage of GTMA dividends to realize superior ESG performance.

Single body-coupled fiber enables chipless textile electronics.

Intelligent textiles provide an ideal platform for merging technology into daily routines. However, current textile electronic systems often rely on rigid silicon components, which limits seamless integration, energy efficiency, and comfort. Chipless electronic systems still face digital logic challenges owing to the lack of dynamic energy-switching carriers. We propose a chipless body-coupled energy interaction mechanism for ambient electromagnetic energy harvesting and wireless signal transmission through a single fiber. The fiber itself enables wireless visual-digital interactions without the need for extra chips or batteries on textiles. Because all of the electronic assemblies are merged in a miniature fiber, this facilitates scalable fabrication and compatibility with modern weaving techniques, thereby enabling versatile and intelligent clothing. We propose a strategy that may address the problems of silicon-based textile systems.

‘Tele_Trust’ and ‘Touch My Touch’: co-creating social touch and trust experience through telematic platforms

ABSTRACT ‘Can telematic platforms be created to share embodied experience of social touch?’. This paper addresses the design of shared presence via telematic platforms, on the basis of shared embodied experience of touching and feeling touched, in empathic interplay. Two Artistic Social Labs platforms that re-orchestrate and merge visual, haptic and facial input, supported by telematic platforms, are discussed and analysed. The hybrid platform ‘Tele_Trust’ (2009) makes use of smart textiles with touch sensors, and mobile phone app and urban screen technologies. The online platform ‘Touch My Touch’ (2021) is based on streaming, face-recognition and portrait merging technologies. The CITYO model ‘Can I Touch You Online?’ (Lancel 2023) is used to analyse and evaluate the effects of design choices on the experience of social touch. The results show that a sense of reciprocal influence (characteristic to social touch) can be established via telematic platforms, through sensory and social design for co-creation. Additional results provide insights for the future design of shared presence, through experience of social touch in reciprocal empathic interplay, via telematic platforms.

Wood consolidation through an epoxy‐acrylic gamma‐crosslinked three‐dimensional system

AbstractEmerging technologies based on polymeric materials are progressively developed in order to preserve and consolidate cultural heritage artifacts. In this study, we aimed to obtain a hybrid polymer reliant on two types of thermosets that undergo irreversible crosslinking via ionizing radiation‐induced polymerization, the polymer's structure and characteristics being tailored using specific dose rates, doses, linear energy transfer and monomers ratio, in order to achieve the established performance requirements. Here, we demonstrate a covalently bonded 3D hybrid diepoxy‐triacrylic polymer that is chemically and dimensionally stable, intending to use it as a consolidant of highly degraded wooden artifacts in order to mitigate oxygen inhibition from radical chain reactions, to increase chemical and thermal stability, as well as to obtain a stiffer consolidated artifact, therefore more resistant to deformation. Various types of analytical techniques such as Attenuated Total Reflectance Fourier Transform Infrared Spectroscopy, Mass Spectrometry or Thermal analysis were performed in order to support our strategy and predictions regarding the synergistic effect given by gamma irradiation‐driven crosslinking through simultaneous cationic and radical chain growth polymerization reaction mechanisms. We achieved a homogenous polymeric formulation and wood‐polymer composite materials with high modulus of elasticity, therefore providing up to a twofold increase in Young's modulus in the consolidated wood, a good chemical resistance to various solvents and outstanding thermal resistance up to 381°C. Consequently, the consolidation methodology, as well as mechanical testing, analytical and morphological characterization of the resulted composite will be discussed. Apart from consolidating cultural heritage wooden artifacts, this synthetic route and impregnation methodology provide opportunities for wood‐polymer composites in a wealth of applications as reinforced wood‐based materials.

Boost Stewardship With Mail Merge Technology You Already Have

Boost Stewardship With Mail Merge Technology You Already Have

Data merging methods for S-wave velocity and azimuthal anisotropy from different regions

When inverting the S-wave velocity and azimuthal anisotropy from ambient noise data, it is always to obtain the partial overlapped inversion results in contiguous different regions. Merging different data to achieve a consistent model becomes an essential requirement. Based on the S-wave velocity and azimuthal anisotropy obtained from different contiguous regions, this paper introduces three kinds of methods for merging data. For data from different regions with partial overlapping areas, the merged results could be calculated by direct average weighting (DAW), linear dynamic weighting (LDW), and Gaussian function weighting (GFW), respectively. Data tests demonstrate that the LDW and GFW methods can effectively merge data by reasonably allocating data weights to capitalize on the data quality advantages in each zone. In particular, they can resolve the data smoothness at the boundaries of data areas, resulting in a consistent data model in larger regions. This paper presents the effective methods and valuable experiences that can be referred to as advancing data merging technology.

Considering Company Size, Level of Responsibility, and Employee Age for Analysing Countermeasures against Barriers to Digital Transformation

Digital Transformation (DT) is gaining traction across all industries. Also, it impacts other sectors, such as non-profit and higher education. DT emerges when connectivity technologies merge with physical assets, potentially affecting value-generating processes and value propositions. These changes will improve effectiveness, business models, and customer relationships. However, firms confront several barriers when they embark on their DT journey. Thus, it is essential to understand how the barriers can be tackled by countermeasures. Understanding the qualities of these countermeasures is critical for businesses to overcome barriers. Thus, this current study searches for similarities and differences across socio-demographic categories representing company size (LE, MLE, SME), level of responsibility (executive, with and without personal responsibility), and age (under 30, 31-40, 41-50, above 50). Data from online surveys revealed 1171 participants’ statements. These were used to extract four dimensions and 39 countermeasures. The most prominent countermeasure dimensions are Human and Organisation. The most prominent countermeasures relate to the education of employees in the form of demand-oriented training and benefits and needs of DT. This research adds to identifying similarities across categories and paves the way for greater generalizability of countermeasures.

Automated Environmental Stewardship: A Ribbon-Cutting Robot with Machine Vision for Sustainable Operation

This paper provides a novel way for automating ribbon-cutting rituals that use a specifically constructed robot with superior computer vision capabilities. The system achieves an outstanding 92% accuracy rate when assessing picture data by using a servo motor for ribbon identification, a motor driver for robot movement control, and nichrome wire for precision cutting. The robot's ability to recognize and interact with the ribbon is greatly improved when it uses a Keras and TensorFlow-based red ribbon identification model which obtained accuracy of about 93% on testing set before deployment in system. Implemented within a Raspberry Pi robot, the method exhibits amazing success in automating ceremonial activities, removing the need for human intervention. This multidisciplinary method assures the precision and speed of ribbon-cutting events, representing a significant step forward in the merging of tradition and technology via the seamless integration of robots and computer vision.

Robot Ethics

Robot Ethics

Robot Ethics

Robot Ethics