Reviewerly/exHarmony huggingface dataset:
A Comparative Study of YOLOv8 and YOLO - NAS Performance in Human Detection Image

In the realm of computer vision, object detection holds immense importance across applications such as surveillance and autonomous vehicles. This study addresses the critical challenge of human detection under low-light conditions, essential for nocturnal surveillance and autonomous driving systems. Focusing on the evolution of YOLO models, particularly YOLO - NAS and YOLOv8, a research gap is identified concerning their performance in low-light scenarios. The research conducts a detailed analysis of YOLO - NAS and YOLOv8 effectiveness in human detection under reduced ambient illumination. Object detection, vital in computer vision, faces challenges in low-light scenarios. This study concentrates on human detection due to its significance in night-time surveillance and autonomous driving. Despite YOLO models' evolution, a research gap exists in comparing their performance in low-light conditions. The study aims to fill this gap, providing insights for enhancing human detection methodologies in challenging lighting environments.
New trends in modern journalism

Since the creation of new media, this industry has not lost its relevance, but, on the contrary, is in demand as an object of research. The reason for this is that, along with its own functions of the media, it makes a significant contribution to the development of the world of spirituality. The new trend creates interactivity, flexibility, speed, fragmentation of the audience and convergence of many environments within it. Virtual movement through social and intellectual spaces, the emergence of cybernetic culture, and the infinity of knowledge creation and dissemination have increased. It can be a means of personal and mass communication. The subject of this article is the study of the links between online journalism and new media journalism, the influence of a dynamic environment on traditional journalism and the process of creating new signs of the profession. The phenomenon of objectivity associated with this type of journalism is discussed. New trends in modern journalism will be studied in detail using methods of comprehensive analysis, differentiation and new methods of modern journalism that control the flow of information in the era of the global era will be considered. In addition, when studying the trends of modern journalism, the focus is on business strategies, the creation of new business models, marketing and branding strategies. For example, although debates in Japan are an “internal conversation” in the media industry, there are many interesting surveys and studies on the connection between the Internet, journalism and democratic society in Western countries. For example, the Pew Research Center, a nonprofit social research organization in the United States, has been studying the impact of the Internet on journalism and society for more than 10 years. As a result, a large amount of data was collected at the Pew Internet &amp; American Life Project research centers, and extensive discussions and research unfolded using them.
Rethinking Answer Set Programming Templates

In imperative programming, the Domain-Driven Design methodology helps in coping with the complexity of software development by materializing in code the invariants of a domain of interest. Code is cleaner and more secure because any implicit assumption is removed in favor of invariants, thus enabling a fail fast mindset and the immediate reporting of unexpected conditions. This article introduces a notion of template for Answer Set Programming that, in addition to the don’t repeat yourself principle, enforces locality of some predicates by means of a simple naming convention. Local predicates are mapped to the usual global namespace adopted by mainstream engines, using universally unique identifiers to avoid name clashes. This way, local predicates can be used to enforce invariants on the expected outcome of a template in a possibly empty context of application, independently by other rules that can be added to such a context. Template applications transpiled this way can be processed by mainstream engines and safely shared with other knowledge designers, even when they have zero knowledge of templates.
Pengenalan Algoritma pada Pembelajaran Pemrograman Komputer

An algorithm is defined as a series of actions to solve a problem. The solutions implemented must be sequential, logical and systematic. In this way, algorithms can become the basis for creating computer programs. Meanwhile, a computer program is a set of commands that a computer is told to execute when solving a problem. Algorithms play a very important role in computer programming because the heart of computer science is algorithms. Many discussions from various branches of the computer field refer to the definition of algorithms. The purpose of this scientific work is to help students be able to first recognize the definition of an algorithm so that it can facilitate students' understanding of computer programming learning and increase student motivation in learning. The author used the literature study method in writing this scientific work. Keywords: Algorithms, Programming.
ANALISIS KARTU ACCESS CONTROL PINTU MENGGUNAKAN METODE USER ACCEPTANCE TEST PADA MUSEUM BANK INDONESIA

Safety in the environment, whether at home, at work or in the open, is the hope that everyone wants in all their activities in public places. Security guarantees are also really needed in several business areas and workplaces to avoid interference from any party. In entrance access control, access control alludes to the act of restricting access to an office to approved persons only. When entering a room through an entrance that requires a manual key there are many restrictions. The aim is to find out the advantages or disadvantages of access control devices so that we can anticipate that the devices will not be easily damaged, and to find out the results of testing the level of acceptance of access control devices so as to prevent misuse of access cards. The method used is User Acceptance Test (UAT). The result is that based on the results of a questionnaire that has been carried out at the Bank Indonesia Museum, it is known that testing using UAT can help in knowing the advantages and disadvantages of access control devices so that they can anticipate that the devices will not be easily damaged. In this case, it was found that 27 respondents answered agree and 23 respondents answered strongly agree, stating that users felt that smart cards often did not function when they wanted to access the work space in the Bank Indonesia museum, and the level of acceptance of access control devices was 81% based on the assessment criteria above, namely very good, so it can prevent misuse of access cards at the Bank Indonesia Museum.
PERANCANGAN SISTEM PAKAR DALAM MENDIAGNOSA KERUSAKAN CCTV BERBASIS WEB MENGGUNAKAN METODE FORWARD CHAINING (STUDI KASUS: PT.MNC PICTURES)

The use of Closed Circuit Television (CCTV) has almost become a common necessity in the current era, especially for security, where it is to record an incident 24 hours a day which can be immediately broadcast or stored as evidence if one day it is needed. Closed Circuit Television or better known as CCTV is equipment that functions to record events in real time in a room. The research objective is to build a web-based expert system that is able to diagnose damage to CCTV and implement the forward chaining method. Data collection methods are observation, interviews and literature study. Meanwhile, the research method used is forward chaining. The result is that an expert system can be built on a web basis and is able to diagnose damage to CCTV and also the forward chaining method can be implemented to overcome the uncertainty of the expert system diagnosis results.
PEMBELAJARAN PENDIDIKAN PANCASILA DAN KEWARGANEGARAAN BERBASIS AUGMENTED REALITY (AR) PADA KELAS VII DI SMP SWASTA ALWASLIYAH PINANG BARIS

This learning is considered very boring because this learning always uses the lecture method without any learning improvisation that can increase students' desire to learn. This education aims to see how students respond and their learning level using the augmented reality method. The method used in this research is a qualitative method where the researcher gives pretest questions before the learning is implemented and a post-test after the learning is implemented to see the participants' knowledge increase. educate. It turns out that augmented reality-based learning can increase students' knowledge and students understand more about the implementation of Pancasila values both in everyday life in society and in school life.
Banking Service and Customer Satisfaction Towards Online Banking: A Case Study in Khotang District

The purpose of the study is to investigate the online banking user customers’ perception about service quality and customer satisfaction and also to explore the relationship between service quality and customer satisfaction of online banking. To conduct the analysis, 70 customers were randomly selected as respondents from five banks located in Khotang district. The questionnaire consisted of 21 questions covering five dimensions of service quality, namely, reliability, security, convenience, and ease of use. Customer satisfaction was measured using Likert scale. The SPSS descriptive statistics result shows that 28.86% of respondents were found fully satisfied with the reliability service of online banking service. Similarly, 46.69%, 49.06%, and 36.79% were found fully satisfied with the security, convenience and ease of use of online banking services. SPSS data analysis results in a Cronch Bach Alpha calculation of 0.956, indicating excellent reliability. Security, Convenience, and Ease of Use also demonstrate excellent reliability with Cronch Bach Alpha scores of 0.996, 0.935, and 0.989, respectively. The reliability analysis shows that the customer's satisfaction with online banking is excellent. Also, the hypothesis testing Reliability, Security, Convenience and Ease of Use have a relationship with customer satisfaction toward online banking.
Surveying the current condition of universities’ teaching and administrative buildings in the South of Russia

A visual survey of 108 teaching and administrative buildings at the universities in the south of Russia revealed a certain degree of obsolescence and physical deterioration as important criteria for suitability for their modernization
Strategy For Strengthening National Police Public Services Based On Information Technology Through A Database Management System

The research aims to examine the Indonesian police strategy to improve technology-based public services in relation to complaints of unprofessionalism by members of the National Police. This research is qualitative research with primary data sources directly from the Indonesian police and secondary data from various sources relevant to this research. The results of this research explain that the Polri's strategy in improving public services to the community is related to the unprofessionalism of Polri members, strengthened by using the Polri database management system. This system saves data that has been stored in old filling &amp; recoding applications. Developing new applications that are integrated with each bureau and can be accessed by all regional police to regional police. The focus of the research that will be carried out by researchers, which is different from previous researchers, lies in an in-depth study of the number of alleged abuses of authority committed by Indonesian police officers and the unprofessionalism of the positions they are currently holding through the Divpropam Polri Database Management System.
Design and Implementation of Cascaded Ant Colony Optimization Coupled with Sliding Mode Controller for Autonomous Cruise Control System

Driving assist systems are being widely used in modern cars nowadays for safety, efficiency and comfort. These systems are used in cruise control, self-driving control and even obstacle avoidance. All these systems include a lot of sensors and radars, which work together and generate fast responses to manipulate the direction or speed of a car. The main objective of using this sort of technology is to reduce accidents by reducing stress on the driver by increasing comfort of travel. The aim of this research is to develop a controller for cruise control in vehicles that can help to reach the desired speed most accurately, quite fast and efficiently. The proposed Ant Colony Optimization coupled with Sliding Mode Controller (ACO & SMC) used in this research is more accurate and robust that can help to tune the parameters in a way that the cruise control system gives a minimum error, stable results with the least possible disturbances. Later on, the results are also compared with already used state-of-the-art technologies implemented for cruise control to show the superiority of the proposed controller.
Echo State Network Control Based Power Quality Enhancement in Grid-Interactive Solar Photovoltaic System

This study applies an echo-state network (ESN)-based technique to enhance the utility power quality performance in a grid-integrated solar photovoltaic (PV) system supplying a specially non-linear load. The proposed system serves multiple functionalities, such as improvement of power quality parameters, which includes harmonics suppression, load balancing, neutral current compensation, source reactive power reduction and correcting low power factor, simultaneously managing the solar PV power generated for supplying the load. The proposed control algorithm extracts the contaminated source currents’ active and non-active harmonic free fundamental weight components. These weights are further used to estimate the source current reference signals and generate the switching signals for the voltage source inverter (VSI) that integrates the grid with the solar PV system. A small-scale two-stage PV power unit linked with a grid is developed in the laboratory. A DSP-dSPACE 1104 controller is used to implement the ESN controller for the grid-integrated PV system. In a three-phase, four-wire distribution system, the suggested algorithm has been evaluated and demonstrated to effectively address multiple power quality issues while managing solar energy.
Fault tolerant approach applied on peer-to-peer energy trading based on blockchain and distributed model predictive control

This work describes a distributed control system that optimizes energy management using model predictive control in an energy community. The system has been extended to provide each agent with a fault-tolerant mechanism that can detect, isolate, and reconfigure agents in the event of faults. Fault detection is based on residual signal calculations and probability-based thresholds that minimize false faults. Once a fault has been identified, reconfiguration is done by adjusting the parameters of the agent's predictive controller to bring the system to an acceptable level of security. If the reconfiguration affects more than one agent, the information can be shared with the other agents. The entire control system is implemented using a blockchain network smart contract to provide the energy community security and integrity features. The proposed control strategy has been assessed through several simulations in an energy community.
Current Control Strategy using Sinusoidal Signal Integrators for Harmonic Elimination in a Standalone Microgird

This study deals with the control of a standalone microgrid formed by solar photovoltaic (PV) and a self-excited induction generator (SEIG)-based micro-hydro renewable energy sources (RESs) feeding balanced three-phase non-linear (NL) loads at the point of common coupling (PCC). A voltage source inverter (VSI) is connected to the PCC to regulate the microgrid’s voltage. The VSI control is implemented through cascade control of the outer voltage proportional-integral (PI) controller and inner current control strategy (CCS). CCS is implemented by proportional-sinusoidal signal integrator (SSI) for fundamental frequency (ω <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">0</inf> ) in the stationary frame. The VSI also eliminates dominant harmonics injected by the NL loads by implementing multiple SSIs with frequency 6kω <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">0</inf> in a synchronous frame rotating at the fundamental frequency. It helps in reducing the computational burden as a single SSI compensates for both (6k±1)ω <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">0</inf> harmonics. A battery energy storage system (BESS) at the DC-link of the VSI maintains the active power balance between generated and consumed power, which regulates the microgrid frequency. The performance of the proposed control is evaluated by simulating it on the MATLAB platform with both generation and load change, even during unbalanced loading conditions.
A Gated Recurrent Unit for Very Short-Term Photovoltaic Generation Forecasting

This work proposes a Gated Recurrent Unit (GRU) for very short-term one-step ahead Photovoltaic (PV) generation forecasting at a 15-minute resolution. A normalised Mean Absolute Error (nMAE) less than 0.06 is observed for all the seasons, which is less than 6 kWh. The GRU model is compared with Recurrent Neural Network (RNN) and Long Short-Term Memory Network (LSTM) across seasons and multiple datasets. The results, after significance test validation, indicate that there is a clear advantage in using GRU over RNN and LSTM in winter. The model utilises prior PV generation, weather variables and solar irradiance as predictors, and are tested on datasets belonging to two different urban environments. As an application, the model can be utilised in urban environments during all seasons while participating in energy market trading. The results of this study are valid in the context of increased renewable uptake and the potential for small-to-medium enterprise rooftop PVs to export power to the grid in the future.
ICP ANALYSIS OF HEAVY METALS IN MERETRIX SPP. FROM PANTAI SEPAT, KUANTAN, PAHANG

Hard clams constitute the genus Meretrix is one of the most demanded bivalvia species in Malaysia. However, the unknown level of heavy metal content raises concerns for the health of seafood lovers, particularly those who consume seafood from Pantai Sepat, Kuantan, Pahang. Using bivalves as bio-indicators, the objectives of this study are to determine the level of concentration of Copper (Cu), Zinc (Zn), Cadmium (Cd) and Lead (Pb), and to evaluate these concentrations according to the permissible limits established by the Malaysia Food Act (1983) and Food Regulations (1985) and the World Health Organisation (1982). Before analysing the samples with Inductively Coupled Plasma Optical Emission Spectroscopy (ICP-OES), the collected and desiccated samples were digested with acid. The concentrations of copper (Cu), zinc (Zn), cadmium (Cd), and lead (Pb) were determined to be 0.56 ppm, 6.76 ppm, 0.06 ppm, and 0.04 ppm, respectively. The order of metals in the collected Meretrix spp. is Zn&gt; Cu&gt; Cd&gt; Pb. The concentrations of all elements present in the hard clams were assessed and found to fall within acceptable thresholds, indicating that they are suitable for consumption without posing any health risks. Keyword(s) : heavy metal; Meretrix genus; Pantai Sepat, Pahang
Sensortechnology for monitoring challenging behavior in nursing home residents with dementia

Background: Neuropsychiatric symptoms (NPS) are common in affected individuals and can be challenging for (in)formal caregivers. Therefore, they are also referred to as challenging behaviors (CBs). Sensor technology measuring context and behavior can be assistive to effectively manage CBs in an objective fashion. Sensors can help support healthcare professionals, such as nurses, by enabling remote monitoring and alarming on early-stage behavioral changes associated with CBs. This might/ will improve the quality of life (QoL) for both caregivers and clients living in a nursing homes (NH). In the project “MOnitoring Onbegrepen Gedrag bij Dementie met sensortechnologie” (MOOD-Sense), we aim to develop such a monitoring system. Our research focuses on two questions 1) How to develop and implement a monitoring system within the context of nursing homes with parameters on environment, physiology, and behavior, identify and process relevant precursors of challenging behavior with this monitoring system and 2) gain insight in which behaviors are challenging according to nurses and how they are described. This will be represented in an ontology such that sensor data can be translated into the same conceptual information. Methods: The first research question will be examined with a set of experiments in the field (in NH) with an iterative approach. Insights from previous experiments on usability and added value of sensors will be used to improve successive experiments. During each experiment, multiple participants (clients with dementia and CBs) are monitored with both ambient and wearable sensors. For the second research question a qualitative approach is employed, using focus groups (FG) and consensus methods. These FGs will be held amongst nursing staff who are involved in daily care tasks for people with dementia. Subsequently, consensus methods are used to align behavioral descriptors/labels. Results: early findings will be presented at the symposium Discussion: Within this project we expect to find precursors of challenging behavior in a personalized fashion based on nurse’s expert knowledge and sensor data. In order to develop a monitoring system that can be embedded within NH’s, real-time alarming, in-situ behavior recognition and trustworthiness are part of our technological requirements. Just-in-time interventions may then be deployed to prevent behavior escalation or the persistence of undesirable situations.
If You Build it, They Will Come: Collection Management of Construction Contracts

Abstract Working with construction contracts can be a real challenge for information professionals due to the confusing way in which they are often named, the sheer number of editions and amendments, the differing terminology that's employed and many other factors. Here Debra O'Malley , Senior Information Services Officer at Pinsent Masons, threads her way through the labyrinth of construction law while providing an overview of the vast range of contracts available and where they can be found.
Pembinaan Literasi Baca Pada Anak-Anak dengan Metode CABACA di Desa Kanrung Kec. Sinjai Tengah Kab. Sinjai

Education makes a person get information and also community members, especially elementary school children, are future assets. Therefore, it is necessary to develop reading and writing. One way to carry out reading and writing coaching is to use the CABACA book media. The purpose of using CABACA media is to make it easier for students to recognize letters, spell words, read words, and read sentences. The purpose of this training is to reduce the illiteracy of students in Kanrung Village, especially students at SDN No 213 Sabbang by coaching learning to read and to write in school. The type of CABACA method used is phenomenological research with a qualitative approach located in Kanrung Village, Central Sinjai District, Sinjai Regency, while the data collection techniques used were interviews, observation and documentation. The results of fostering learning to read and write using CABACA media can reduce illiteracy and improve the reading ability of students in Kanrung Village.