Reviewerly/exHarmony huggingface dataset:
Hand Gesture based Speech Recognition system for Hard of Hearing People

Abstract: For people who are intellectually challenged, this document provides a sign to speech translator. In contemporary society, the dumb have very little ability to converse with the normal person. Therefore, they are unable to interact with common people until common people, like ourselves, learn how to communicate through sign language. Dumb sign language is not something that everyone can learn because it is so challenging to perfect. Because of this, nobody can go and talk to these physically challenged persons. So, here is a system that would make it possible for those who are illiterate to speak with everyone. With today's technology, even the deaf may communicate by making hand gestures. Each hand gesture is set to play back a different audio message. Hand motions were captured by a flex sensor and an accelerometer, and the microcontroller then accepted these inputs. The flex sensor tracks hand movements and detects deflections, converting them into the right signals that trigger the system to produce recorded sound signals for transmission via the speakers. There are many different Arduino Boards available right now, and they can be used for a variety of things. The Arduino Mega 2560 is the ideal solution since it is the most cost-effective, allows faster computing, and can integrate and interface various sensors while consuming less power. The device under discussion is basically made up of a glove and a microcontroller-based system. Four strategically placed flex sensors are included in the data glove.
Design and Development of a Robotic Drone: A Drover.

Abstract: The main aim of this project is to introduce new way of spying to our Indian armed forces and to improvise the spying techniques in all the required fields. This project helps to work beyond and to learn beyond the limitations. Achievement of this project to overcome the major drawback of the spying techniques which is presently existing, and to develop the strength of our Indian armed forces and to increase the revolution of aeronautical. This project will be mainly used during the surgical strikes to analyse the accurate situation at the location. This project will save many soldiers and help to resolve the strike easily by providing the accurate situation record. This can upgrade the Indian defence sectors.
ACADEMY AWARDS 2022 ASCIP Hybrid Educational Conference &amp; Expo: September 7–10, 2022 Kansas City, Missouri

"ACADEMY AWARDS 2022 ASCIP Hybrid Educational Conference & Expo: September 7–10, 2022 Kansas City, Missouri." The Journal of Spinal Cord Medicine, 45(6), pp. 807–808
Physicochemical and Microbial Properties of the Soil Samples Collected from Auto-Mechanic Workshop, Orubor-Agbor, Delta State, Nigeria

Auto-mechanic workshops are major concerns due to the repeated discharge of spent engine oil to the receiving soil. This study investigated the qualities of soil samples from an auto-mechanic workshop located in Orubor, Abgor, Delta State, Nigeria. The collected soil (n=36) was characterized for physicochemical and bacteriological quality using standard procedures. The physicochemical results wet season were pH (5.25 ± 0.07 to 6.15 ± 0.07), electrical conductivity (45.0 ± 7.07 to 165 ± 7.07 µS/cm), organic carbon (1.53 ± 0.42 to 10.1 ± 0.16 %), nitrogen (0.05 ± 0.00 to 0.44 ± 0.01 %), phosphorus (0.69 ± 0.05 to 5.20 ±0.02 mg/kg) and total hydrocarbon content (151 ± 1.41 to 572 ± 3.53 mg/kg). The dry season recorded pH (4.78 ± 0.04 to 5.73 ± 0.04), electrical conductivity (44.1 ± 6.29 to 1.62 ± 4.60 µS/cm), organic carbon (1.21 ± 0.07 to 7.52 ± 0.13 %), nitrogen (0.47 ± 0.00 to 0.58 ± 0.00 %), phosphorus (0.90 ± 0.57 to 6.79 ± 0.09 mg/kg) and total hydrocarbon content (98.9 ± 0.44 to 373 ± 6.36 mg/kg). There was no significant difference (p˃0.05) in the physicochemical parameters concerning the sampling periods. The total heterotrophic bacterial and total naphthalene utilizing bacterial counts were 9.67 ± 1.04 × 105 cfu/g and 5.40 ± 0.88 × 105 cfu/g respectively. The major bacterial isolates were Serratia, Pseudomonas, Enterococcus, and Providencia spp. Findings from this study revealed the necessity for public education and stricter waste management practices within auto-mechanic workshops to stem the negative effects of spent auto-engine oil pollution in the
End-To-End Deep Learning Based Tamil Handwritten Document Recognition and Classification Model

Handwritten recognition (HR) remains a challenging process in various real-world applications. Tamil handwritten text recognition involves the recognition of text in scanned images. Recognition of handwritten Tamil characters is a tedious process because of the differences in sizes, style and orientation angle. Prior studies concentrated on character-level segmentation and each character was subsequently classified. Segmentation is then used, first at the word level and subsequently at the line level. The recently developed machine learning (ML) and deep learning (DL) approaches can be utilized for Tamil HCR. With this motivation, this paper presents an end-to-end deep learning-enabled Tamil handwritten document recognition (ETEDL-THDR) model. The ETEDL-THDR paragraph text recognition can be accomplished by the use of two modules such as line segmentation and line recognition. Initially, the ETEDL-THDR model enables the improvement of the quality of the input images by the use of the median filtering (MF) technique. To create meaningful regions, further line and character segmentation activities are performed. Additionally, a deep convolutional neural network-based MobileNet approach was applied to derive feature vectors. At last, the water strider optimization (WSO) algorithm with a bidirectional gated recurrent unit (BiGRU) model is applied to recognize Tamil characters. An extensive experimental analysis of the ETEDL-THDR model is carried out and the results showed that the ETEDL-THDR model performed better than more recent methodologies with maximum accuracy of 98.48%, precision of 98.38%, a sensitivity of 97.98%, specificity of 98.27%, and F-measure of 98.35%.
Smart Communication Interpreter for Mute and Deaf People

As a consequence of birth anomalies and accidents, the number of hearing impaired and speech challenged sufferers has increased dramatically in recent years. When a deaf-dumb person speaks to a normal person, the normal person struggles to understand and demands that the deaf-dumb person display gestures to meet his or her needs. Dumb individuals speak to us in their own language. The only need is that we need to understand their language. Sign language is a communication capacity used by deaf and dumb people that uses hand signs, orientations, and movement of the hands, arms, or body, as well as facial expressions, to transmit the thoughts of a speaker fluently. However, most people struggle to understand this sign language. People who are unable to speak or have lost their ability to speak as a result of an injury find it difficult to transmit their message in society. We created an electronic speaking glove for this project. Dumb individuals may easily converse with normal people by merely wearing the glove. The system’s circuitry translates some activities, such as receiving a speech for each chosen button, making it easier for deaf/dumb people to converse with normal people. In this system, an LCD display is also employed; normal people’s voice is detected word by word and shown as text on the LCD display, making it easier for normal people to converse with deaf/mute people. As a result, this initiative will assist to bridge the communication gap between mute, deaf, and hearing persons.
Student’s Perceptions on Using Shadowing Technique in Learning Speaking

This study aims to determine the perceptions of students about the application of the Shadowing technique in learning Speaking at Institut Pendidikan Nusantara Global. The data in this study were collected from 38 respondents from 3rd semester students of Institut Pendidikan Nusantara Global. The data collection technique used in this study was in the form of a questionnaire containing 5 aspects of the assessment of the use of shadowing techniques including aspects of interesting methods, aspects of student motivation, aspects of student understanding, aspects of time effectiveness and aspects of learning outcomes. The results of the research conducted on students' perceptions of the shadowing technique, are as follows: The results of the interesting aspect of the method, the majority of students gave a positive response of 87%, then in terms of the motivational aspect got positive results of 100%, from the aspect of understanding students got positive results of 86%, from the aspect of time management got positive results of 84 and from the aspect of student learning outcomes got positive results of 97%. Of the five data are in the vulnerable 75%-100%. it can be concluded that the use of shadowing techniques in learning speaking from students' perceptions can be categorized as good.
Web-Based Learning Design and its Implementation on TOEIC Reading Skills to Measure the Usability and Learning Outcome A Case Study at Global Institute

Test of English for International Communication (TOEIC) is a compulsory subject taught to all students regardless their chosen concentration. The subject covering the consecutive two semesters at Institut Bisnis dan Teknologi Bina Sarana Global has been given for the past five years. Nevertheless, the students’ achievement is still considered low, where the average scores for both mid and final semester paper-test based haven’t met the expected target. TOEIC itself tests students’ ability to comprehend reading texts encompassing grammar, sentence structure and vocabulary. This becomes a challenge since the majority of students have below average English competence. In contrast, their access to technology is deemed adequate, thus, its implementation towards learning can be a contributing factor to a better learning outcome by providing engagement with the technology itself. In line with the development of technology and to accommodate students’ learning needs with various motivation and abilities, a scheme for developing learning materials through a web design was proposed. The researchers used SLDC for the design method, focusing on prototyping model through phases from generating users’ needs, designing prototype using figma application, putting into trials and practices to conducting evaluation. As for the application, a PHP programming language with Codeigniter 4, programming MySQL as a database system, Bootsrap for website outlook, Black Box Testing with Equivalence Partitions Technique and Beta Testing through questionnaire become the framework for the proposed design. After the implementation was completed, a good result with a percentage of 71% for the usability of the application was shown and that students achieved better scores in the given practice tests.
Implementation Of Rivest Chiper 6 and Blowfish Algorithm for Mobile-Based Message Cryptography

The development of technology in recent years has been very rapid, there are still many people who use short message technology, but the security aspect is not guaranteed. People who exchange information are at risk of having information content theft during the delivery process, for that it is necessary to encrypt messages before sending and decrypt them to be read so that they are not easily misused by unauthorized people. With Rivest Cipher 6 and Blowfish cryptographic algorithms, this model is a symmetric key algorithm in the form of a block cipher that can answer message security. This method is suitable for maintaining message security. In this paper, a number of aspects of cryptography will be discussed as well as the basic concepts of cryptography. The purpose of the application is designed to be able to implement the Rivest Ciper 6 and Blowfish algorithms. Rivest Chiper 6 and Blowfish algorithms implemented on android smartphones can encrypt messages before they are sent and decrypt messages when they are received, by using two message security encryption options, users can distinguish the results of the two algorithms and become more secure. In the encryption and decryption process, a key is needed to scramble and restore the contents of the message. The key is obtained when the sender and recipient met previously can also send the key through the application, but the key sent will be immediately deleted by the application so that others do not know the key to open the message.
Promotional Media Application with Android-Based Virtual Tour Technology

Due to the impact of COVID-19, it has resulted in a decrease in the number of students entering SMK Bina Am Ma'mur or SMK BAM. Currently, the dissemination of information about SMK BAM can be said to be not so good. So this research innovates to create new and unique promotional media by utilizing virtual tour media. The purpose of this study is to introduce the environment by utilizing virtual tour media and increase students' interest in entering SMK BAM. The study was conducted using qualitative methods. Data were collected by observation and interview techniques. Furthermore, using the MDLC Method to design the system consists of the stages of concept, design, material collecting, assembly, testing, and distribution. The results of this study created a school promotional media application with a Virtual tour in the form of a 360° panoramic photo for the Android-based SMK Bina Am Ma'mur so that prospective new students can find out school information without coming to school.
Expert System for Detecting Web-Based Respiratory Tract Infections at the Kalideres District Health Center

The use of technology in the field of health is used to improve better health services. One of the implementations in the field of health is an expert system for diagnosing diseases. In Kalideres District Health Center, Respiratory Infection Disease (ISPA) became the category of 10 most cases of disease. ISPA disease management requires high awareness from both the public and health officials, especially about some factors that affect the degree of health. To overcome this, Kalideres District Health Center needs a system that can provide information in detecting ISPA disease that can provide the results of disease consultation. This is a good choice to solve the problem. In this stage the expert system for detecting ISPA disease-based websites is designed using PHP programming language and MySql database. This system has been run in the research place running well and effectively, as evidenced by testing Software Quality Assurance with a score of 84.8. it is expected that this expert system can handle the most cases of disease in Kalideres District Health Center.
Backgammon is Hard

We study the computational complexity of the popular board game backgammon. We show that deciding whether a player can win from a given board configuration is NP-Hard, PSPACE-Hard, and EXPTIME-Hard under different settings of known and unknown opponents' strategies and dice rolls. Our work answers an open question posed by Erik Demaine in 2001. In particular, for the real life setting where the opponent's strategy and dice rolls are unknown, we prove that determining whether a player can win is EXPTIME-Hard. Interestingly, it is not clear what complexity class strictly contains each problem we consider because backgammon games can theoretically continue indefinitely as a result of the capture rule.
Percepción de estudiantes del nivel superior respecto a la afectividad en los entornos virtuales

This paper has as aim to describe the perception of higher-level students about the importance of affectivity in virtual environments. This study had a quantitative research focus with a cross-sectional descriptive scope and a participation of 110 students. A typical performance instrument was used whose reliability was calculated using Cronbach’s alpha (0.970). The results show that 85% of the higher-level student’s considerer important the implementation of affectivity in the teaching learning process; also, it was detected as opportunity area that teachers can give a more precise accompaniment to academic performance of the students, this with the objective to being able to avoid anguish or desertions when working remotely. The results are important to consider in future training to development of affective competences in virtual environments to higher-level students and teachers.
Defining Blockchain Governance Principles: A Comprehensive Framework

Blockchain eliminates the need for trusted third-party intermediaries in business by enabling decentralised architecture design in software applications. However, the vulnerabilities in on-chain autonomous decision-makings and cumbersome off-chain coordination lead to serious concerns about blockchain's ability to behave in a trustworthy and efficient way. Blockchain governance has received considerable attention to support the decision-making process during the use and evolution of blockchain. Nevertheless, the conventional governance frameworks do not apply to blockchain due to its distributed architecture and decentralised decision process. These inherent features lead to the absence of a clear source of authority in blockchain ecosystem. Currently, there is a lack of systematic guidance on the governance of blockchain. Therefore, in this paper, we present a comprehensive blockchain governance framework, which elucidates an integrated view of the degree of decentralisation, decision rights, incentives, accountability, ecosystem, and legal and ethical responsibilities. The above aspects are formulated as six high-level principles for blockchain governance. We demonstrate a qualitative analysis of the proposed framework, including case studies on five extant blockchain platforms, and comparison with existing blockchain governance frameworks. The results show that our proposed framework is feasible and applicable in a real-world context.
Privacy-Preserving Feature Selection with Fully Homomorphic Encryption

For the feature selection problem, we propose an efficient privacy-preserving algorithm. Let $D$, $F$, and $C$ be data, feature, and class sets, respectively, where the feature value $x(F_i)$ and the class label $x(C)$ are given for each $x\in D$ and $F_i \in F$. For a triple $(D,F,C)$, the feature selection problem is to find a consistent and minimal subset $F' \subseteq F$, where `consistent' means that, for any $x,y\in D$, $x(C)=y(C)$ if $x(F_i)=y(F_i)$ for $F_i\in F'$, and `minimal' means that any proper subset of $F'$ is no longer consistent. On distributed datasets, we consider feature selection as a privacy-preserving problem: Assume that semi-honest parties $\textsf A$ and $\textsf B$ have their own personal $D_{\textsf A}$ and $D_{\textsf B}$. The goal is to solve the feature selection problem for $D_{\textsf A}\cup D_{\textsf B}$ without revealing their privacy. In this paper, we propose a secure and efficient algorithm based on fully homomorphic encryption, and we implement our algorithm to show its effectiveness for various practical data. The proposed algorithm is the first one that can directly simulate the CWC (Combination of Weakest Components) algorithm on ciphertext, which is one of the best performers for the feature selection problem on the plaintext.
Ludii Game Logic Guide

This technical report outlines the fundamental workings of the game logic behind Ludii, a general game system, that can be used to play a wide variety of games. Ludii is a program developed for the ERC-funded Digital Ludeme Project, in which mathematical and computational approaches are used to study how games were played, and spread, throughout history. This report explains how general game states and equipment are represented in Ludii, and how the rule ludemes dictating play are implemented behind the scenes, giving some insight into the core game logic behind the Ludii general game player. This guide is intended to help game designers using the Ludii game description language to understand it more completely and make fuller use of its features when describing their games.
Switching Trackers for Effective Sensor Fusion in Advanced Driver Assistance Systems

Modern cars utilise Advanced Driver Assistance Systems (ADAS) in several ways. In ADAS, the use of multiple sensors to gauge the environment surrounding the ego-vehicle offers numerous advantages, as fusing information from more than one sensor helps to provide highly reliable and error-free data. The fused data is typically then fed to a tracker algorithm, which helps to reduce noise and compensate for situations when received sensor data is temporarily absent or spurious, or to counter the offhand false positives and negatives. The performances of these constituent algorithms vary vastly under different scenarios. In this paper, we focus on the variation in the performance of tracker algorithms in sensor fusion due to the alteration in external conditions in different scenarios, and on the methods for countering that variation. We introduce a sensor fusion architecture, where the tracking algorithm is spontaneously switched to achieve the utmost performance under all scenarios. By employing a Real-time Traffic Density Estimation (RTDE) technique, we may understand whether the ego-vehicle is currently in dense or sparse traffic conditions. A highly dense traffic (or congested traffic) condition would mean that external circumstances are non-linear; similarly, sparse traffic conditions would mean that the probability of linear external conditions would be higher. We also employ a Traffic Sign Recognition (TSR) algorithm, which is able to monitor for construction zones, junctions, schools, and pedestrian crossings, thereby identifying areas which have a high probability of spontaneous, on-road occurrences. Based on the results received from the RTDE and TSR algorithms, we construct a logic which switches the tracker of the fusion architecture between an Extended Kalman Filter (for linear external scenarios) and an Unscented Kalman Filter (for non-linear scenarios). This ensures that the fusion model always uses the tracker that is best suited for its current needs, thereby yielding consistent accuracy across multiple external scenarios, compared to the fusion models that employ a fixed single tracker.
Development of a Portable Interface System Sharing the Positioning and Heading Information to Support a Berthing Vessel

The study develops a portable interface system to inform berthing operators of the position and heading in relation to the quay when berthing a large vessel equipped with distance-measuring instruments. A portable interface system is indispensable for preventing collisions and improving the efficiency of berthing operations because it allows operators to intuitively grasp the movement status of the vessel based on the distance data measured during berthing. These data can not only be converted into the current position and heading of the vessel relative to the quay, but can also be visualized to predict the movement and speed of the vessel in a few seconds. Therefore, we developed a visualization system using Rviz, a 3D model visualization tool for a robot operating system, and verified the necessity for an interface system through simulations and experiments using a model vessel. Furthermore, we extended the function of the visualization interface using a wireless network, developed a web application to display the vessel’s positioning information on multiple operators’ terminals, and verified the drawing stability at 10 Hz using the extended application.