Reviewerly/exHarmony huggingface dataset:
Analysis and Recognition of Handwriting Patterns for Personality Trait Prediction Using Unsupervised Machine Learning Approach

The study of the link between handwriting and personality is known as handwriting analysis. It is a specific manner of using handwriting to convey one’s cognitive process. That’s why it’s also known as “brain writing”. Handwriting, like a person’s fingerprint, is a unique trait that cannot be duplicated by two distinct people. It also aids us in determining a person’s emotional state. Handwriting recognition is usually done in a traditional manner, in which a professional handwriting expert examines a person’s handwriting samples for various personality features, which takes a lot of time and effort. As a result, the focus of this study is on developing an automated system that can predict personality characteristics utilizing the machine learning algorithm KNN to identify a certain individual based on their handwriting sample. In today’s modern society, predicting personality traits using face, voice, handwriting, and other techniques is becoming increasingly essential. To develop this approach, we look at a document’s many features such as letter size, word spacing, and slant of words, pen pressure, and baseline, and so on to anticipate the writer’s personality.
Identifikasi Karakteristik Spasio-Temporal Hujan Ekstrem di Tanjungpinang Menggunakan Google Earth Engine (GEE)

In early January 2021, Tanjungpinang was hit by floods due to extreme rainfall intensity, causing the affected communities to suffer material and non-material losses. The flood has occurred from 2011 to 2021. To minimize the impact of flood events, it is necessary to study the characteristics of rainfall both temporally and spatially. This is considered important because with this information the public can anticipate the impact of extreme rainfall at a certain time and location. This study aims to identify the Spatio-temporal characteristics of extreme rainfall in Tanjungpinang City which often causes floods. However, to identify the characteristics of rainfall, long data is needed. This study uses CHIRPS (Climate Hazards InfraRed Precipitation with Station) satellite data because the rainfall observation data at the Raja Haji Fisabilillah station is not available for 2012. The identification results show that the correlation criterion (R) value between rainfall observation data and CHIRPS satellite data is 0.688. This value is interpreted as "strong" to be used as an alternative study data. GEE (Google Earth Engine) as a cloud-based platform is used to identify the spatial and temporal characteristics of extreme rainfall. From the results of temporal identification, it is known that extreme rainfall occurs in January, April, and December. The results of spatial identification indicate that the area that has the highest average maximum rainfalls at the Bukit Bestari District area of 156.60 mm/day. This can then be confirmed by looking at the documentation of flood events that often occur in the area.
SPECIAL EDUCATION TEACHERS' POSSESSION OF THE SKILL OF DEALING WITH ELECTRONIC ASSESSMENT TOOLS IN THE KINGDOM OF SAUDI ARABIA

This study describes a new idea based on measuring the degree to which special education teachers possess the skill of dealing with electronic assessment tools. The electronic assessment tools and teachers' skills in dealing with them save teachers' time and effort in general and special education teachers in particular. These tools also enable them to determine the actual levels of students with disabilities, reduce their workload, and identify learning problems for students with disabilities. Additionally, they make it easier for the teachers to prepare reports and communicate with the students at home. Furthermore, teachers' knowledge of multiple electronic assessment methods reflects the performance level of each student with a disability in a clear, individual manner. Hence, this provides an equal and balanced level in assessing the student’s educational level. Therefore, this study aimed to know the degree to which special education teachers possess the skill of dealing with electronic assessment tools and show the differences in the sample responses according to gender, specialization, and years of experience variables. The study used a descriptive approach to achieve its objectives. The study sample consisted of 237 male and female teachers of special education selected from public schools in the southern regions of the Kingdom of Saudi Arabia. The questionnaire was used for data collection after its validity and reliability checking. The results showed that the degree to which special education teachers possess the skill of dealing with electronic assessment tools from the perspective of the study sample was medium. Also, there were statistically significant differences in the degree to which special education teachers know electronic assessment tools from the viewpoint of the study sample due to the variables of gender in favor of females and specialization in favor of teachers of learning and intellectual disabilities. However, the statistical differences attributed to the variable of years of experience were absent. Note that educational officials and decision-makers in the Ministry of Education are keen to train special education teachers in skills with electronic assessment tools in schools and centers of education for students with disabilities. They play an efficient role in the success of the teaching-learning process for students with disabilities, facilitate the work of teachers, and alleviate their burdens. It is also necessary to conduct a qualitative study complementing this study that examines the obstacles and difficulties that special education teachers possess the skill of dealing with electronic assessment tools in the Kingdom of Saudi Arabia. Knowing and analyzing these obstacles and problems may be a good indicator in the future to develop proposals by educational officials in the Ministry of Education to enhance and develop special teachers' education in skills of dealing with electronic assessment tools, which will benefit the outcomes of the educational process.
Digital Transformation of the Educational Process during the Covid-19 Pandemic

E-learning has become an inevitable process for educational organizations as it helps an individual to get his or her education regardless of the place of learning, reducing the cost, time, and effort of the education process, especially in crises’ occurrence. The theoretical approach was used in this study to collect the required data based on the literature review. The study clarified the significance of e-learning as a feature of the digital transformation process and an integrative, but not full alternative, for face-to-face learning in all the scientific disciplines in the universities, especially clinical disciplines. The study differentiated between e-learning and emergent-remote learning that occurred as an emergent response to the Covid-19 pandemic and confirmed that the pandemic-response migration cannot be equally assessed as much as online education in the ordinary situation. it was differentiated between methods of response to the emergent-remote learning during the Covid-19 pandemic. Also, the study demonstrated the challenges that have faced e-learning during the pandemic and the opportunities provided by the pandemic through e-learning. Finally, a set of suggested solutions was provided in the discussion section. For instance, It is suggested that schools fulfill their civic duty by teaming up with telecommunications firms to provide free or cheap internet access and downloads for students and teachers. Also, colleges and universities need to inspire their students to develop their digital skills so that they can remain competitive in the e-learning market.
MOTIVATION TO PRACTICE SPORTS ACTIVITIES WITH SOCIALLY DISABLED (REHABILITATION AND CORRECTION CENTERS INMATES) IN JORDAN

The study aimed to identify the motivation to practice sports activities among socially disabled Rehabilitation and Correction Centers’ Inmates in Jordan and make a comparison in the motives according to the variables of time life, judicial decision duration, qualifications, correction centers. The research sample consisted of 148 prisoners. Descriptive analytical approach was used, and the study tool consisted of 53 paragraphs, the result accuracy and credibility were verified. One of the most important findings of the research is that there are no statistically significant differences at the level of significance) for the motivation to practice sports activities with socially disabled (Correction and Rehabilitation Centers’ Inmates) in Jordan. According to the above variables, and with the respect of the results, the author recommendations concentrated on the following factors: activating the motivation in the participants, such as the providing specialized sport supervisors and increasing the number of trainers specialized in different programs to suit the participants, considering the customs and traditions of the Jordanian society, and conducting an analytical study of the reality in Jordanian Correction and Rehabilitation Centers in terms of possibilities and facilities, programs, trainers, administrators, participants, to identify this reality, strengthen and address strengths and weaknesses. The importance of this research comes from the importance of motivation for sports practitioners for this group of society and this research is exposed to a group in Jordanian society because the motivation is of great importance to this group in the practice of sports activities and has a significant impact on the modification of the personality. The importance of this research is also evident from the importance of this category, which deals with it, as it is based on the places where this category is located and where prisoners must adapt.
Residue and Quadratic Residue Number System Based on Converters

The quick growth of easy communication technologies concluded the last several decades has led in the establishment of strict standards for the functioning of productive systems. The system execution is improved by reducing computation time with the “Residue Number System (RNS)”. It is extensively castoff in “signal processing” “numeral analysis”, and “cryptoanalysis”, and an exact graph-based technique for designing perfect converters from binary framework to RNS to “Quadratic RNS (QRNS)” as well as, on the other hand, employing complete adder as the primary building blocks are shown. The measured adder is a critical component of the RNS system. In this work, it tries to summarized possible prospect of converters by using RNS adder and QRNS adders.
A Review on Machine Learning Techniques on IOT Based Privacy Preserving Network

Expanded data collection and processing at greater rates have come from a growth in the number of devices connected to the internet, which is especially important now that the requirement for real-time action has increased significantly in recent years. It is becoming more difficult to finish data processing within an acceptable time frame as the variety and validity of data continues to grow in volume and quality. Because the data generated is supplied to a variety of different cloud data centres located all over the world, the current cloud architecture is a sub-optimal choice in these situations, according to the researchers. In this approach, implementing machine learning technologies into the present cloud environment may improve the overall efficiency and effectiveness of the cloud environment. In this article, works on machine learning and security in the Internet of Things platform are evaluated.
Energy Consumption-Based Trajectory Planning for Manipulators

Trajectory planning for robot manipulators is very important in achieving high productivity and excellent accuracy. One of the objectives nowadays is the minimum energy consumption due to the increase in the petroleum prices and the difficulty in the supply lines as well. It is the objective of this paper to design the trajectory of the manipulator based on the minimum energy consumption per cycle of the motors running the manipulator. The selected trajectory will be checked also against the jerk as well to ensure that the robot will not vibrate at the beginning and at the end of any task. A seventh-degree polynomial trajectory is selected to study the effect of the jerk on the trajectory and the torques of the joints as well. The proposed trajectory will be checked through a three degree-of-freedom robotic arm in both horizontal and vertical maneuvering.
Experimental Study on Eco-Bricks

PET plastic bottles are a major contributor to plastic in all big cities, in this Research, we assess Eco-Bricks (a possible solution to plastic disposal) from an experimental point of view. This Research paper aims to assess the feasibility of using PET bottles as Eco Bricks, in-wall module material. This study suggests using Eco-blocks that are filled with single-use plastic waste as a posed solution for plastic disposal, with the liberty of reoccupying the filler material when advanced recycling choices become available. Using single-use plastic as filler material, this research presents an experimental characterization of density, thermal shrinkage, and compressive strength test, Because the suggested Eco-bricks’ density and elastic modulus are very close to those of EPS used in smaller structures, we believe, these bricks can be a better alternative to such construction materials. In the first experiment density of such Eco-Bricks was figured out using Archimedes Principle, further, we determine the thermal shrinkage of this newly posed construction material, Thermal Shrinkage helps us in gauging the performance of such bricks at higher temperatures, Lastly, the Compressive Strength Test was performed on Eco Bricks.
Intelligent Trust Based Electrical Vehicles Using 6G

Internet of Vehicles (IoV) has been viewed as a pivotal innovation for laying out Intelligent Transportation Systems in shrewd urban communities and is perhaps of the most encouraging application later on Internet of Things. the 6th era has started to arise. With the appearance of 6G interchanges, tremendous organization frameworks, be generally utilized, and the amount of organization hubs will rise remarkable development, which brings about extremely high energy utilization. As perhaps of the most encouraging application in future Internet of Things, Internet of Vehicles (IoV) has been recognized as an essential innovation for fostering the Clever Transportation Frameworks in brilliant urban areas. With the rise of the sixth generation (6G) correspondences innovations, monstrous network frameworks will be thickly sent and the quantity of network hubs will increment dramatically, leading to very high energy utilization. There has been an upsurge important to foster the green IoV towards maintainable vehicular correspondence and networking in the 6G time. Be that as it may, as an extraordinary versatile ad-hoc network, the energy cost in an IoV framework includes the correspondence and calculation energy in addition to the fuel utilization and the power cost of moving vehicles. Besides, the energy collecting innovation, which is probably going to be adopted generally in 6G frameworks, will entangle the improvement of energy proficiency in the whole framework.A change in the 6G period, there has been an expansion in interest in fostering the green IoV for supportable vehicle correspondence and systems administration. Nonetheless, as a remarkable versatile impromptu organization, an IoV framework's energy cost incorporates energy for correspondence and figuring. Reinforcement Learning (RL) can successfully address issues with decision-making to accomplish this goal. Large-scale wireless networks have enormous and complex state and action spaces, though. As a result, RL might not be able to identify the ideal plan of action in a timely manner. To solve this problem, Deep Reinforcement Learning (DRL), a infusion of RL and DL, has been developed.
Anatomization: IoT Security Issues and Its Future Challenges

This article gives an in-depth examination of the Internet of Things (IoT) evolution, with a particular emphasis on security challenges and the proposed solutions. So, it presents the IoT security issues as a prospective blueprint of exploration for future academics entering this field. As we have well known that internet plays an important role in the modernization of human existence. In the electronic cloud, the Internet of things (IoT) plays a crucial role. Researchers have recently tackled the IoT-based architecture, technology, applications, and security challenges. For the most part, IoT equates to adding internet access to a network of smart sensors, machines, objects, or people. Automatic data collection and transfer over the Internet puts personal devices at risk for hacks and attacks. After conducting the study, we will identify the most important issues, with the goal of leading researchers in this area.
Application of Predictive Reinforcement Learning on Extendable Wheeled Systems

Robots and controls systems are increasingly adopting Intelligent non-linear-based control scheme approaches. Such non-linear systems become a complex computational problem for linear control schemes due to the rigorous calculation. Since most systems are inherently non-linear, following through with linear control schemes becomes an exhaustive process. In this research work, we wish to present reinforcement learning-based control with PPO (Proximal Policy Optimization) and MPC (Model Predictive Control) control schemes on our chosen assembly, i.e., the wheeled robot. We will be comparing these control schemes against each other based on the efficiency and performance of these systems for a specified task, including point-to-point locomotion in 3D space.
Perancangan sistem informasi akuntansi penjualan kain pada CV Vidi Sukses Berkah menggunakan microsoft visual basic 2010

The purpose of the research is to design a sales accounting information system in CV Vidi Sukses Berkah. The method of collecting data is through observation, interviews and literature studies relating to the subject matter of the research conducted. The problem found is that the sales system still uses a manual system where sales transaction data is still handwritten in the form of notes on notes, resulting in frequent damage to data such as torn or dirty notes. Therefore, a desktop-based sales information system was designed using the waterfall model system development method and tools such as Flowmap, DFD and ERD. Based on the results of research conducted by the author, it can be concluded that with a sales information system the company can streamline the process of managing fabric sales transactions, improving customer service and controlling sales transactions directly because of automatic reports presented by the system with daily periods.
Pengujian akurasi model regresi logistik multinomial untuk memprediksi keberhasilan mahasiswa di perguruan tinggi menggunakan r

Higher education institute should have maintained its student’s success in their academic field. Therefore, higher education institute should make a model to predict its success as early as possible. To have such model, the impacting factors should be determined, which factor are in the forms of continuous dan categorized data. This research is aimed to build logistic regression model based on compounded data from continuous and categorized data, which then test the model accuracy to predict the student’s success in such institute. Research data is using 68 student’s data. There are 6 research steps, first, data preparation and collection, second, data analysis, third, building the logistic multinomial regression model, fourth, data testing and validation, fifth, measure the model accuracy, and the sixth step is drawing the conclusion based on the analysis output. The result of prediction analysis dan accuracy test using logistic multinomial regression is the best model with significant factors that influence the study time are gender, department and selection track, while prediction accuracy model for each study time response variable is 96.4%.
EFFECTIVITY OF POLLUTANT DECAY IN THE CONSTRUCTED WETLANDS BY USING WATER BAMBOO PLANTS (EQUISETUM HYEMALE)

One of the problems in urban areas is the pollution of water sources. Unmanaged domestic waste in urban areas causes the waste to enter the main river system, causing river water pollution. One of the efforts that can be made to reduce the burden of water pollution is to use phytoremediation through constructed wetlands. This study aimed to analyze the effectiveness of water bamboo or Equisetum hyemale in pollutant removal. The rate of pollutant decay in constructed wetlands using water bamboo plants or Equisetum hyemale, modeled using 4th order Runge-Kutta. The study was conducted by taking water samples from constructed wetlands planted with Water Bamboo plants for a certain period. The parameters measured were DO, nitrate, phosphate, and ammonia. The concentrations of these parameters were analyzed using linear regression to determine the gradient of each equation (k). The gradient is a representation of the plant's ability to shed pollutants. The value of k is then used to calculate the change in concentration with time with the help of the Runge-Kutta numerical model of 4th order. Based on the regression results, the decay rate values for each parameter are 0.026/day for DO, 0.024/day for ammonia, 0.006 /day for phosphate, and 0.1214 /day for nitrate. This data is then entered into a numerical model which is solved by 4th order Runge-Kutta to obtain the change in concentration per unit time. When compared theoretically, pollutants in water bodies experience a decay pattern according to the theory. Based on the calculation of pollutant decay results in the field, it was found that the effectiveness of the constructed wetland in eliminating DO was 41.68%, ammonia was 60.49%, phosphate was 30.62%, and nitrate was 53.51%.
Analysis of the Use of VR in Medical and Science and Technology

Using virtual reality as an asset and a part of our future is discussed in this article. You can experience, feel, and even touch the past, as well as the present, and future, through it. As a means of creating our own reality, it serves as a medium for us to do so. A virtual reality experience could include everything from developing a video game to a virtual walk across the world, or even a virtual walk through our own ideal house. The most terrifying and gruelling experiences can be experienced in a safe and educational manner with virtual reality. As a result of our research, we’ve compiled this report on everything we’ve learned about virtual reality so far. It covers everything from levels of immersion to the components that go into creating a virtual environment, as well as the history, present, and future of the technology. As a result, both the technologies themselves and the prices and logistics required to implement them have a variety of restrictions. Nevertheless, these new technologies have their own set of problems, which is why we conclude this study with a number of fresh ways and possibilities for future researchers who want to apply these new technologies to education.