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One of the open domain challenges for Spoken Dialogue System (SDS) is to maintain a natural conversation for rarely visited domain i.e. domain with fewer data. Spoken Language Understanding (SLU) is a component of SDS that converts user utterance into a semantic form that a computer can understand. If we scale SDS open domain challenge…

Technology Acceptance Model (TAM) is broadly accepted and has proved applicable in identifying consumers’ willingness to utilize information and communication technology (ICT). The theory proposes that Perceived Ease of Use (PEOU) and Perceived Usefulness (PU) are actually determining factors of individual attitudes, while attitude is a determining factor of Behavioural Intention (BI) and Behavioural Intention…

Ethereum smart contract system has seen a steady adoption as it continues to support tens of thousands of contracts. This feature has evolved to give a practical shape to the ideas leading up to fractional ownership transfer, using advanced smart contracts such as ERC-981. However, alongside its numerous benefits, various risks arise with the actual…

Vibrotactile feedback is increasingly becoming an essential feedback component in several non-medical and medical areas. One area that vibrotactile feedback has not been explored as an intervention tool is in sports science. In addition, vibrotactile feedback lacks scientific evidence as a feedback mechanism within the sports world. A portable vibrotactile feedback system was developed to…

In this paper, we propose a revised version of the semantic decoder for multi-label classification task in the spoken language understanding (SLU) pilot task of the Dialog State Tracking Challenge 5 (DSTC5). Our model concatenates two deep neural networks – a Convolutional Neural Network (CNN) and a Recurrent Neural Networks (RNN) – for detecting semantic…

This study establishes a method for determining whether learners have an understanding of data science. Data science requires knowledge in various fields, which makes many learners give up. To prevent learners from being discouraged, it is necessary to judge the comprehension of the principles in each specified skill. It is important to assess not only…

Understanding and responding to customer feedback is critical for business success. Customer response data offers valuable insights into preferences, behaviours, and sentiment. By analysing this data, businesses can optimize strategies, enhance customer experiences, and drive growth. Many analysis have been conducted in this field, while the review covers a broad range of AI and ML…

With the spread of inverters, the attention of designers naturally turned to 5-phase motors, due to their advantageous properties. In this regard, perhaps the most important issue in the design of such machines is the selection of the correct rotor slot number. Many articles have been published on multiphase machines, however, only few of them…

This study proposes the Value Karuta (VK), an application of the traditional Japanese card game karuta. Its goal is to contribute to the understanding of value, which is the first principle of lean management. After stating the problems of lean management and the specifications of VK, this paper confirms the validity of the proposal by…

While Virtual reality is becoming more popular, 360-degree video transmission over the Internet is challenging due to the video bandwidth. Viewport Adaptive Streaming (VAS) was proposed to reduce the network capacity demand of 360-degree video by transmitting lower quality video for the parts of the video that are not in the current viewport. Understanding how…

Machine Translation (MT) has come a long way toward reducing linguistic gaps. However, its progress in efficiently handling low-resource languages—such as the Wa language in the Myanmar-Wa corpus—has not received enough attention. This study begins with a thorough investigation of the historical development of MT systems, painstakingly following their development against the complex background of…

The aim of this study is to develop an advanced framework that not only recognize the dominant facial emotion, but also contains modules for gesture recognition and text-to-speech recognition. Each module is meticulously designed and integrated into unified system. The implemented models have been revised, with the results presented through graphical representations, providing prevalent emotions…

This work enhances the LoRaWAN server framework, focusing on an innovative approach for robust security and dynamic data visualization in network management. Migrating from RVC4 to AES encryption, it fortifies the network’s defense against cyber threats, a crucial advancement in IoT security. Furthermore, the integration with Grafana’s mapping plugin capitalizes on geolocation data, a strategic…

In the context of adopting cloud Infrastructure-as-a-Service (IaaS), prospective consumers need to consider a wide array of both business and technical factors associated with the service. The development of an intelligent tool to aid in the assessment of IaaS offerings is highly desirable. However, the creation of such a tool requires a robust foundation of…

Designing efficient control strategies for opinion dynamics is a challenging task. Understanding how individuals change their opinions in social networks is essential to countering malicious actors and fake news and mitigating their effect on the network. In many applications such as marketing design, product launches, etc., corporations often post curated news or feeds on social…

In a challenging and increasingly technological world, it is important to promote critical thinking, multidisciplinary problem solving, and collaboration through STEAM education; however, there are important economic, administrative, and especially pedagogical manage- ment limitations for its implementation at the secondary level. Therefore, this paper presents systematic recommendations for an effective and sustainable implementation of STEAM…

“Seven ReImagined” is an innovative transmedia storytelling project that reshapes the exploration of the seven deadly sins in a modern context. Building upon the original artwork “Seven”, this venture incorporates traditional media, digital tools, and the latest immersive technologies to cultivate profound user engagement and interaction. The project’s objective is to enhance understanding of timeless…

Metal Oxide Semiconductor Field-Effect Transistors are commonly taught in courses for electrical engineers as they are the most common components within integrated circuits. However, despite numerous papers and books on MOSFETs, students still struggle with understanding their behaviour, particularly in the saturation region. This paper presents an expanded explanation of MOSFET behaviour, with a consistent…

Continuously Variable Series Reactor (CVSR) is a device that can vary the reactance in an ac circuit by controlling the magnetization of a ferromagnetic core, shared by ac and dc windings. The bias dc current can change the equivalent ac reactance(inductance) in order to, for example, control load flow, damp oscillations, or fault current limitation.…

Limited interactive communication modes between students and teachers in online environments may lead to teachers misinterpreting or overlooking student needs during online teaching. Students learning online may also hesitate to make their needs known even when latent desires in teaching flow, pacing, and review, may be beneficial to the quality of the learning experience. The…

The aim of the research is to contribute to the emergent field of strategic design as an approach to creating transformational impacts in organizations. This is driven by international strategies to promote sustainable business environments which are innovative and adaptive to change. The literature identifies a gap in the knowledge in relation to how knowledge…

In 1998 we were talking about an NTIC era, and since the years 2010, we are tracing the beginning of a new era of technological development, called the era of digital transformation. During this new era companies have started to run towards the digitalization of their processes, which represent a large part of the market,…

This paper describes what can be accomplished by understanding sound environments. Understanding sound environments is achieved by extracting the features of the sound and visualizing the features. The visualization is realized by converting the three features, namely, loudness, continuity, and pitch, into RGB values and expressing the sound with color, where the color is painted…

As mobile robots or Automated Guided Vehicles age, and their navigation components wear down, downtime may increase, and therefore robots may lose their path planning capabilities. In such blind-navigation scenarios, we assume robot(s) is programmed to undergo a default random-walk locomotion in a two-dimensional confined workspace with spatially populated obstacles. The robot(s) has only one…

Chatbot operates task-oriented customer services in special and open domains at different mobile devices. Its related products such as knowledge base Question-Answer System also benefit daily activities. Chatbot functions generally include automatic speech recognition (ASR), natural language understanding (NLU), dialogue management (DM), natural language generation (NLG) and speech synthesis (SS). In this paper, we proposed…