Reviewerly/exHarmony huggingface dataset:
DEVELOPMENT OF LUNTIAN: A CHATBOT COMPANION

This study focuses on designing and developing an AI chatbot application that uses a controlled dataset. The primary emphasis of the dataset lies in providing the AI with relevant information to effectively recognize user emotions and deliver suitable and precise responses. The purpose of the study is to provide companionship to the user. The technology used for the study includes Dialog flow and Android Studio. The methodology involved testing the chatbot with 50 students and employees currently enrolled or working in Centro Escolar University, who completed the Software Process and Product ISO Standards Survey for evaluation. The statistical treatment employed was random sampling. The findings indicated that the respondents generally agreed on the functionality, efficiency, and portability criteria while the respondents strongly agreed on the reliability and usability criteria of the application. The results suggest that the software was able to perform its task effectively based on the Software Process and Product ISO Standards Survey. The development of this application opens opportunities for individuals who struggle to express their emotions and demonstrates evidence of computer interaction concerning emotion.
PEMBUATAN SPOT FOTO DI CAFE LOWO DESA MELIRANG OLEH MAHASISWA KKN UMG UNTUK MENINGKATKAN PENDAPATAN DESA

The existence of cafes in the daily life of the people of Gresik City, especially for young people, has got its own position as an alternative to take advantage of free time or a more important goal, not only that, the presence of cafes is one of the centers for developing the creative economy by taking advantage of existing opportunities. Its existence is not uncommon as a place for the self-existence of young people through various accesses that are displayed on various social media such as taking photos, status updates as moments aimed at their social environment virtually. The implementation method applied to this work program is starting from the method of preparation, coordination, activity planning, activity implementation, monitoring and evaluation. In terms of continuity of work programs and effectiveness as well as programs on the targets of each work program. The aim of the work program is to make photo spots at Cafe Lowo, Melirang Village, as a solution to attract visitors. An increase in the number of visitors will have an impact on increasing economic activity in the area so as to encourage an increase in the welfare of the surrounding community
Digital Competence of Educators in Turkey According to European Digital Competence Framework

Nowadays, it is not common to come across sectors that can work and succeed without using information technology (IT). IT has now become a part of organizations' management and strategic decision-making mechanisms. Therefore, organizations make serious investments to develop software and system infrastructures and transfer business processes to digital environments such as cloud technologies. So, they gain opportunities of spreading their business activities to wide stakeholders and customers and being business resilient. Here it is essential to provide assurance that an organization evaluates, develops, implements, maintains, disposes of its IT systems and manages life cycle of all information and information technology systems properly on all physical and logical environments. However, the most important matter is that an organization’s objectives are met by the management practices of its information systems. While organizations carry out their digital transformation at a dizzying speed, organizations should be protected from material and moral damages such as loss of money, loss of commercial confidential information, loss of reputation by protecting the confidentiality, integrity and accessibility of the information assets they own and also comply with legal legislations such as the protection of personal data and intellectual property rights. In order to achieve this, organizations benefit from one or more frameworks, standards or directives that are suitable for their own structures and needs, separately or by integrating them. However, the most important point in this transformation process is the transition of organizations from IT management understanding to IT governance. In other words, IT has now become a part of the strategic decision-making mechanism by rising from the level of support tool to carry out business processes in organizations. When we search the academic literature, frameworks and standards, it is seen that the key elements of IT governance are structures, processes and relational mechanisms. If these three components are set up correctly and fit the organization, it can be assured that IT aligns with and supports the objectives of the organizations and that effective IT governance is achieved in every kind of organizations. In this research, databases such as Web of Science, IEEE, and SCOPUS are scanned and found articles are reviewed in order to make a literature review on IT Governance Mechanisms and Frameworks. Results are evaluated and discussed. By the way, suggestions for further studies were made and advanced researches were shed light on.
Research on Speech Adaptation of Neural Network Acoustic Model in Power Grid Call System

To further improve the speech recognition capability in power grid call systems, this paper proposes an sentiment analysis model KBERT-TextCNN-B to enhance the text sentiment classification model. Firstly, crawl text data related to power services from platforms such as Weibo and Baidu Tieba and establish an sentiment dictionary. Use the BERT model for word vector processing and take the output of the last K Transformer layers as input to the Text CNN model, in order to improve the problem of BERT easily ignoring local information. Simultaneously calculating the emotional values of each statement, Bayesian theory is used to correct the classification probability to improve model performance. Finally, CNN, Naive Bayes, and BERT TextCNN models were selected for experimental comparison on five indicators. The experimental results showed that this model can accurately analyze the emotional information of users in the power service industry and improve its accuracy in providing user services.
Research on Two-step Pointer Meter Recognition Method Based on Yolov7

In order to adapt to the dangerous and complex environment of chemical sites and reduce the danger of manual inspection in high-risk areas, this paper proposes a two-step pointer meter recognition method based on yolov7, which can be combined with explosion-proof inspection robots to complete the autonomous detection of factory meters and meter reading work. By pre-producing the corresponding templates of various types of meters, the yolov7 model is used to complete the identification of the type of meters in the input image, dial area cropping and center area positioning; the cropped dial area image is tilted and corrected, and then processed by filtering and enhancement methods, the improved Hough transform detection method is used to fit a straight line to the location of the meter pointer; the angle of deflection of the pointer is computed and matched to the corresponding template information to complete the identification of the meter number. The angle of pointer deflection is calculated, and the corresponding template information is matched to complete the reading of the meter number. The experimental results show that the method in this paper can achieve good results in both experimental scenes and chemical scenes, and can quickly and accurately recognize a variety of known chemical industry instruments, which can meet the needs of instrument detection in the automatic inspection in chemical plants.
Research on Internet of Vehicles Data Security Based on Blockchain

This project designs a cross-regional information sharing mechanism in vehicle networks based on blockchain technology. Organizations with multiple trustworthy domains make up a blockchain. An improved ciphertext strategy attribute-based encryption algorithm is used to encrypt data, and a cross-domain data fine-grained and secure sharing solution based on blockchain is constructed by combining blockchain and interstellar file systems for storage. For the constructed Stackelberg game, multi-agent reinforcement learning is proposed to find a method of approximating the optimal game to obtain Nash equilibrium. Research results show that the hierarchical access mechanism proposed in this project can effectively reduce the computing and communication costs in the vehicle network, and can provide reliable data protection for the vehicle network.
Optimal nonparametric testing of Missing Completely At Random and its connections to compatibility

Given a set of incomplete observations, we study the nonparametric problem of testing whether data are Missing Completely At Random (MCAR). Our first contribution is to characterise precisely the set of alternatives that can be distinguished from the MCAR null hypothesis. This reveals interesting and novel links to the theory of Fréchet classes (in particular, compatible distributions) and linear programming, that allow us to propose MCAR tests that are consistent against all detectable alternatives. We define an incompatibility index as a natural measure of ease of detectability, establish its key properties and show how it can be computed exactly in some cases and bounded in others. Moreover, we prove that our tests can attain the minimax separation rate according to this measure, up to logarithmic factors. Our methodology does not require any complete cases to be effective, and is available in the R package MCARtest.
Toward Anomaly Detection Using Explainable AI

Anomaly detection in networks is an important aspect of network security, enabling organizations to identify and respond to unusual patterns of activity that may indicate a security threat or performance issue. By identifying and addressing anomalies in real time, organizations can reduce the risk of data breaches and other security incidents and ensure the optimal performance and reliability of their network infrastructure. However, implementing effective anomaly detection in networks with good quality is a significant challenge, requiring careful consideration of several key factors. One of the main challenges of anomaly detection in networks is the sheer volume of data that must be processed and analyzed. Networks generate vast amounts of traffic data, making it difficult to identify patterns and anomalies in real time. To address this challenge, anomaly detection systems must be able to handle large amounts of data and operate at high speeds while also minimizing false positives and false negatives. In this chapter, we present MMT a monitoring framework developed by the Montimage research team to perform anomaly detection. This framework is being extended with explainable AI (XAI) capabilities to better understand the classification done by AI-/ML-based algorithms. The first experimentations are presented in this book chapter using SHAP, LIME, and SHAPASH technologies.
Determining Digital Literacy Levels of Primary School Teachers

The primary purpose of this research was to determine the digital literacy proficiency perceptions of primary school teachers working in Eskisehir and compare them based on certain variables. The mixed method was used as a research method; the data were collected using the Digital Literacy Assessment Scale developed by Acar (2015) for quantitative findings and in-depth interviews for qualitative results. The quantitative study group consisted of 733 primary school teachers. In the qualitative dimension of the research, there were data from 7 primary school teachers who agreed to fill out the structured interview form and then take part in an in-depth interview. Quantitative data of the study were analyzed using SPSS software. Qualitative data were analyzed with the descriptive analysis method and interpreted according to their relationship with the research questions. The result showed that the primary school teachers perceive themselves as highly sufficient in regard to the different competence areas of digital literacy and that they dominate these competence areas to a great extent. There were significant differences between the digital literacy levels of the primary school teachers and their age, gender, educational status, seniority in the profession, personal computer possession, constant internet connection, technologies/practices used in education, and technological education. However, the grade level taught was not an influential factor in their digital literacy levels. Moreover, in-service training should be organized to provide digital literacy, using Web 2.0 tools, and integrating technology into the classroom environment, starting with those who have more service than their years of seniority in the profession.
An Experimental Evaluation of the Expectation Maximization Algorithm

The Expectation Maximization algorithm is used to infer (a) the parameters of underlying Gaussian distributions of a data set and (b) the probability distributions for each data point that denote its membership to each such distribution. In this paper, we, first, provide the theoretical ground of the algorithm, and then, experimentally evaluate its performance using a real-world medical data set, where we showcase the merits as well as the limitations of the algorithm.
Pengembangan Sistem Informasi Pemesanan Makanan Berbasis Web pada Rumah Makan Mie Hokkien Akheng

This activity aims to provide broader knowledge, understanding and insight to young people, especially students and employees related to accounting. This activity aims to enable participants to understand the definition of accounting, the history of accounting, the purpose of accounting itself, and have a good understanding of the contents of financial statements so that this knowledge can become a provision in the future when these young people enter the world of work or the world of investment or even become an expert in accounting later. This activity is carried out online through the Google Meet application. The target of this activity is young people aged 17 to 20 years who are in Pontianak, West Kalimantan. The number of participants in this activity was 66 participants. This activity took place on Saturday, March 4 2023 and went very well due to good cooperation and coordination from the various parties involved. This activity is expected to be able to contribute and have a positive impact on increasing the knowledge and understanding of participants regarding accounting and can provide broader views and insights for participants
Pengelolaan Pembelajaran Berbasis Learning Management System (LMS) Menggunakan Aplikasi Canva

One of the many applications of technology in the world of education that can be used as a learning medium in schools is Canva, an online design program that offers a variety of learning materials such as presentations, resumes, posters, brochures, pamphlets, graphics and infographics. , banners, bookmarks. , bulletins and more. Canva has features or uses for education as a creative, innovative, interactive and collaborative learning environment that makes learning easy and fun. As an application that supports technology, Canva provides a learning space for each teacher to conduct lessons using learning media. Canva offers more attractive templates in the learning process. Systems that help teachers plan curriculum, manage learning materials, manage student learning activities, manage grades, report student participation, and see grades or called Learning Management System (LMS) can be collaborated using the Canva application. In addition to teachers, students can also use Canva to present assignments, posters, poems, advertisements, and other assignments. The Canva application can be used or used through devices or laptops making it easier for teachers and students to access it anywhere and anytime. The many advantages and benefits of the Canva application make Canva very suitable to be implemented in the world of education.
Pendampingan Pembenahan Instalasi Sistem CCTV untuk Masjid Baitul Rohmah Pudak Payung Semarang

Apart from being a place of worship, the mosque has a function to improve community relations in the environment around the mosque in particular. In order to improve community relations, it is necessary to hold several activities involving the community under the auspices of the mosque. In order for community activities to take place, the mosque is equipped with several assets such as electronic devices, sound systems, air conditioning, infaq contacts/charity boxes and some other supporting furniture. So mosque assets need to be maintained in the security aspect. To support the security aspects of the mosque's environment, in this service there will be mentoring and training on the CCTV (Close Circuit Television) system. This service activity is carried out by technicians, mosque congregation and accompanied by a service team, including; needs assessment, field survey, network design and layout, preparation of budget plans and device requirements, device installation and device firmware settings. After being agreed by the team, this service installed 5 camera points to monitor 4 areas, parking area, yard, congregation area and priest area. From the results of this activity, that the installation of cameras at 5 points in accordance with the planned survey results and needs assessment can provide comprehensive monitoring of environmental conditions outside and inside the mosque, so that it can better guarantee security in the mosque and its surroundings.
Utilization of strategies for ensuring effective security of data in government parastatals in Abia state

The need to protect data of government parastatals from unauthorized access and breaches necessitated this study. The study ascertained the utilization of strategies for ensuring the security of data in government parastatals in Abia State. One research question and one null hypothesis guided the study. The study adopted survey research design, with a population of 351 data managers in government parastatals studied without sampling. A-14 item structured questionnaire was used to collect data for the study. The face and content validity of the instrument was determined using four experts while the reliability was established using pilot-test and data obtained calculated using Cronbach Alpha formula which yielded correlation coefficient of .87. Descriptive mean and standard deviation were used to answer the research question while ANOVA was used to test the null hypothesis at .05 significant level. Findings revealed that office employees in government parastatals in Abia State utilize network control strategy to a low extent in ensuring security of data. Years of working experience of data managers did not significantly influence their mean responses in this regard. Hence, the researchers concluded that more training/re-training of office staff is needed on how to utilize network control strategy to ensure effective security of data in government parastatals in Abia State. It was recommended among others that; management of government parastatals in Abia State should organize regular data security training workshops for all their office staff to enable them up-data their skills and competencies in utilizing network control strategy for security of organizations’ data.&#x0D;
Design of Ulos Weaving Handicraft Centre in Samosir Regency with Green Architecture Approach

Indonesia is famous for its rich culture, especially the traditional fabrics of each region. North Sumatra is one of the contributions to that cultural heritage. Weaving Ulos or 'Kain Ulos' is an ancestral cultural heritage that is a symbol of the Batak Toba community in the form of long scarves whose existence decreases dramatically and can experience extinction. The lack of a place or container to preserve Ulos is one of the issues to consider. The design of this ulos weaving craft center must pay attention to the facilities, design concepts, and application of green architecture to the building. The aim is to design suitable support facilities for ulos weaving craft centers, making the ulos weaving craft center as one of the containers to preserve ulos weaving to improve the economy of the surrounding community and apply green architecture to the design to preserve the surrounding environment as well. The process of design approach used in this design is qualitative descriptive. Method by analyzing data collected through field observations to the location of craft centers and literature studies. Energy savings become important points that will be applied to the design of the craft center, such as utilizing sunlight, rainwater and also minimizing artificial air conditioning. Samosir is a strategic and supportive location to apply a green architectural approach in the design of this craft center.
Research on the Dilemma and Countermeasures of Criminal Governance of Online Rumor Crime

Online rumor crime; Criminal governance; Dilemma; Countermeasures
Mathematical Model of Protection of Critical Infrastructure Object from Trojan Programs

The article proposes a conceptual mathematical model for protecting critical infrastructure objects from Trojan programs. The model is based on a game-theoretic approach where the defender and the attacker have conflicting goals. When applying the model, a vulnerability analysis of critical infrastructure objects is performed to identify potential weak points that can be exploited by Trojan programs. Then a game model is formulated to capture the strategic interaction between the defender and the attacker. An optimal security investment for the defender is introduced, which balances the cost of security against the expected loss from a successful attack. Also, the effectiveness of the proposed protection strategies is evaluated using testing and evaluation methods. The research results show that the model is effective in protecting critical infrastructure objects from Trojans and can help allocate security resources to maximize protection while minimizing costs.
Influence of Family Relationships on Adolescent Students’ Interest in Learning

Adolescence is an important stage that everyone goes through, and various researchers have never stopped studying adolescent students. The topic of this research is the influence of family relationships on adolescent students’ interest in learning. The research method of this paper is the literature review method, by reviewing the literature related to the three topic terms, to explore the changes of adolescent students’ interest in learning under different family relationships. According to the results of the study, in a good family relationship, there is a positive influence on adolescent students’ interest in learning, while in a poor family environment, there is a negative and bad influence on children’s interest in learning. It is found that family relationships have always played an important role in the development of students, and that interest in learning is only one of the aspects that family relationships can affect. Both parents and students need to make efforts to regulate these relationships.