Reviewerly/exHarmony huggingface dataset:
Effects of School Type (Day School and Boarding School) on Secondary School Students’ Academic Achievement in Social Studies

This study investigated the effect that day school in collaboration with boarding school would have on secondary school students' academic achievement in social studies.The post-test only experimental design was adopted.One null hypothesis was formulated and tested at 0.05 level of significance.The instrument for data collection was a-25 item teacher made Social Studies Achievement Test (SOSAT) which was validated and reliability index of 0.83 was established.Using the simple random sampling technique, one junior secondary II (JS II) class made up 45 students from each of a day school and a boarding school was selected and divided into two groups namely experimental group (day school students) and control group (boarding school students) and investigated.Each of the two groups was taught social studies for 9 weeks by only one social studies teacher.At the end of the 9 th week of the study, the post-test was administered on the students to determine difference in academic performance if any between the two groups.Using means and t-test in analyzing the data, the result showed that, boarding school students significantly performed better than day school students in social studies.The study recommended among others that, government and individual day secondary schools should periodically organize workshops and seminars on how day school students can improve their academic performance in social studies and other subjects.
Human Activity Recognition based on Wearable Sensors using Multiscale DCNN Ensemble

Sensor-based Human Activity Recognition (HAR) provides valuable knowledge to many areas. Recently, wearable devices have gained space as a relevant source of data. However, there are two issues: large number of heterogeneous sensors available and the temporal nature of the sensor data. To handle these issues, we propose a multimodal approach that processes each sensor separately and, through an ensemble of Deep Convolution Neural Networks (DCNN), extracts information from multiple temporal scales of the sensor data. In this ensemble, we use a convolutional kernel with a different height for each DCNN. Considering that the number of rows in the sensor data reflects the data captured over time, each kernel height reflects a temporal scale from which we can extract patterns. Consequently, our approach is able to extract information from simple movement patterns such as a wrist twist when picking up a spoon, to complex movements such as the human gait. This multimodal and multi-temporal approach outperforms previous state-of-the-art works in seven important datasets using two different protocols. In addition, we demonstrate that the use of our proposed set of kernels improves sensor-based HAR in another multi-kernel approach, the widely employed inception network.
Pengembangan Prototype Sistem E-Commerce pada Ajun Elektronik dengan Metode FAST

While the development of information technology is very influential for the progress of a business, promoting a business that is owned, then one of them by using an ecommerce website. E-commerce is a trading activity carried out online through a website.&#x0D; Problems in electronic adjunct stores Stores still use a conventional system where if a buyer wants to buy the desired item, the buyer must come directly to the store and this condition makes marketing and sales hampered by distance and time. In addition, the promotion at Arjun Electronics Store has not been fully implemented properly because it is only done by directly informing buyers who come to the shop. the purpose of this research is to produce a system that can provide ease of introducing products in the electronic adjuncts and sell all electronic products for household needs. With e-commerce site that is able to provide information about goods to customers quickly through internet network technology. Where asthe FAST method is a fairly flexible framework for various types of projects and strategies. System development with the FAST method is carried out sequentially which includes the stages of scope definition, problem analysis, needs analysis, logical design, decision analysis, physical design and integration, construction and testing, insralation and delivery, The results of this study in the form of website-based e-commerce optimization. With this website, stores can expand marketing, consumers become easier to get information about goods without having to come to the Electronic Adjunct Store and with the (e-commerce), the store can facilitate the conventional transaction process that has been conventional to be modern and can certainly make it easier to create sales reports that were previously still manual.
INTERPOLASI KRIGING DALAM PEMODELAN GSTAR-SUR DAN GSTARX-SUR PADA SERANGAN HAMA PENGGEREK BUAH KOPI

The GSTAR and GSTARX models normally can only be formed from observed locations. The problem that sometimes occurs is that not all locations that want to be modeled have complete data as well as other locations. This study uses GSTAR and GSTARX modeling using SUR approach and combines them with the kriging interpolation technique for forecasting coffee berry borer attack in Probolinggo Regency. This modeling is called GSTAR-SUR Kriging and GSTARX-SUR Kriging. This study aims to determine the best model between GSTAR-SUR Kriging and GSTARX-SUR Kriging for forecasting coffee borer attack in an unobserved location. The result of this study shows that GSTAR-SUR Kriging and GSTARX-SUR Kriging models can be used for forecasting coffee berry borer attack in unobserved locations with high forecast accuracy shown by MAPE values &lt;10%. In this study the GSTARX-SUR Kriging model (1,[1,12])(10,0,0) is the best model for forecasting boffee berry borer attacks in unobserved locations.
Pengenalan Pola Tulisan Tangan Aksara Sasak Menggunakan Metode Linear Discriminant Analysis dan Jaringan Syaraf Tiruan Jenis Backpropagation

Sasak’s script is the one of Indonesia's cultural heritages which is endangered language category and it needs to be preserved so its not become extinct script. If there is no preservation, Sasak’s script will be close to extinction. Given the importance of conservation efforts, a reserch was carried out to recognize the Sasak’s script handwriting patterns. This reserch aims to see the optimal model for recognizing Sasak script patterns and to see how accurate the Linear Discriminant Analysis method as extraction features and Backpropagation Neural Network as a classification method for recognizing Sasak’s script patterns. The dataset in this reserch consisted of three variations amount of data which are 13500, 10800 and 2700. According to the final results of the study the best accuracy was obtained in the 10800 dataset, 92.20% with 92% precision and 92% recall with 250,691s computing time. The test is based on the best paramater of DCT coefficient test parameters, eigen value, number of neurons, number of hidden layers and learning rate that has been tested before.
VISUAL AND VERBAL IN LINE MESSENGER APPLICATION: A SEMIOTIC STUDY

Nowadays, the usage of stickers especially in LINE Messenger is very popular, especially among teenagers. In spite of that, misunderstanding is still happen often. The reasons for choosing LINE stickers are that they are full-sized and expressive so many users can face a misunderstanding while using it. Also LINE provides a wide range of kind of stickers, and that it is very important for users to understand the meaning of each sticker to avoid misunderstanding. This study aims to identify the elements of visual and verbal signs contained in LINE messenger. The method used in this study is a qualitative descriptive method. The data used in this study is 20 visual (stickers) and verbal (texts), in which sticker is the main data meanwhile text is used as supporting data. The source of the data in this study is LINE Messenger. The data was then analyzed by using semiotic theory with a trichotomy model proposed by Charles Sanders Peirce. The results of the analysis show that every sticker contains qualisign aspects such as colors, gestures, etc., but not every meaning contain in the sticker is affected by their quality. It is also shown that every sticker is replica, but it still refers to the law. Every sticker must also share at least one similar characteristic or icon with the object they represents and the sticker used must base on the topic which occurred. The symbol is in the form of key word which makes it easier for the user to choose the sticker variations. Rheme and dicent show that meaning can be derived from the elements contain in the stickers. The differences are rheme contain qualisign and icon, meanwhile dicent only contain secondness aspects. Argument shows that meaning can be derived from hypotheses, standards in society, or even the sign itself. Keywords: LINE messenger, Sign, Visual, Sticker
Implementing a Web Application for W3C WebAuthn Protocol Testing

During the last few years, the FIDO Alliance and the W3C have been working on a new standard called WebAuthn that aims to substitute the obsolete password as an authentication method by using physical security keys instead. Due to its recent design, the standard is still changing and so are the needs for protocol testing. This research has driven the development of a web application that supports the standard and gives extensive information to the user. This tool can be used by WebAuthn developers and researchers, helping them to debug concrete use cases with no need for an ad hoc implementation.
Principles of Editing

My immediate reaction was, "But Chandra, I do not have the breadth of knowledge of astronomy that you do."His reply was that although the goal of the past 18 years had been to improve the scientific quality of the Journal, it was then growing so rapidly in size that the next challenge was to organize its production in an efficient way.
Medicine Delivery Drone

In this study we are implementing a medicine drone delivery system using CC3D flight controller which is configured using Open pilot Ground Control Station software.The drone is optimized to deliver the medicine in rural areas, its location can be tracked using GPS together with the Blynk software.The location tracker have been carried out using NodeMCU.This drone can be of great use in certain regions where the geographical terrain is uneven and not fit for proper transportation, also in the areas where there is still lack of proper transportation services available.
Implementation of the Blockchain in the Optimization of the Security of Transport Documents (Driver&amp;apos;s License and Vehicules Registration Cards)

Data security has become very important nowadays, especially with the increase of data from the big data, forcing each sector to review its security system.The security of driving license and the vehicle registration is always attributed to an authority.This authority can be public or private.In Cameroon, in the transport sector, the security of the driving license and the vehicle registration document is attributed to two private authorities.Presprint Pl for the driving license and High Tech Telesoft for the vehicle registration card.Their objective is to prove the authenticity, availability and confidentiality of the holder of the driving license or car registration card.But until now, the security of these transport documents has encountered certains problems such as the fact that some individuals possess false driver's licenses or false vehicle registration cards.Sometimes with the complicity of certain system managers, the time taken by an applicant to obtain his driver's license or vehicle registration card, the management of the data to be secured by a single authority.Faced with this situation, in order to ensure that only qualified persons who have received appropriate driver training and hold a authentic driving license can be authorized to drive vehicles.The security of the system will be optimized through the use of blockchain technology, in allowing transparency in data management and without a central authority.
Ejection–Collision Orbits in Two Degrees of Freedom Problems in Celestial Mechanics

In a general setting of a Hamiltonian system with two degrees of freedom and assuming some properties for the undergoing potential, we study the dynamics close and tending to a singularity of the system which in models of $N$-body problems corresponds to total collision. We restrict to potentials that exhibit two more singularities that can be regarded as two kind of partial collisions when not all the bodies are involved. Regularizing the singularities, the total collision transforms into a 2-dimensional invariant manifold. The goal of this paper is to prove the existence of different types of ejection-collision orbits, that is, orbits that start and end at total collision. Such orbits are regarded as heteroclinic connections between two equilibrium points and are mainly characterized by the partial collisions that the trajectories find on their way. The proof of their existence is based on the transversality of 2-dimensional invariant manifolds and on the behavior of the dynamics on the total collision manifold, both of them are thoroughly described.
Context and Implications Document for: Does the ARCS motivational model affect students' achievement and motivation? A meta‐analysis

This guide accompanies the following article: Goksu, I. & Bolat, Y. I. (2020). Does the ARCS motivational model affect students' achievement and motivation? A meta-analysis, Review of Education, https://doi.org/10.1002/rev3.3231. Motivation can be a powerful influencing factor on students' efforts in a given activity and their perseverance in completing the activity. The ARCS (attention, relevance, confidence, satisfaction) model of motivation was developed by John Keller in 1979 to find effective and systematic ways to understand the effects of ARCS on students' learning motivation. This paper is an attempt to synthesise the results of experimental research to determine the effects of the ARCS model on student academic achievement and motivation. The meta-analysis focuses on seven research questions: (1) What is the overall effect of the ARCS model on students' academic achievement? (1.1) How does the effect on academic achievement differ according to the learning environment and the field of discipline? (1.2) How does the effect on academic achievement differ according to the educational level and sample size? (2) What is the overall effect of the ARCS model on students' motivation? (2.1) How does the effect on motivation differ according to the learning environment and the field of discipline? (2.2) How does the effect on motivation differ according to the educational level and sample size? (2.3) What is the overall effect of the ARCS model on attention, relevance, confidence, and satisfaction? Hao, K.-C., & Lee, L.-C. (2019). The development and evaluation of an educational game integrating augmented reality, ARCS model, and types of games for English experiment learning: an analysis of learning. Interactive Learning Environments, https://doi.org/10.1080/10494820.2019.1619590 Julià, C., & Antolí, J. Ò. (2019). Impact of implementing a long-term STEM-based active learning course on students’ motivation. International Journal of Technology and Design Education, 29(2), 303–327. https://doi.org/10.1007/s10798-018-9441-8 Keller, J. M. (1987). Development and use of the ARCS model of instructional design. Journal of Instructional Development, 10(3), 2–10. https://doi.org/10.1007/BF02905780 Keller, J. M. (1999). Using the ARCS motivational process in computer-based instruction and distance education. New Directions for Teaching and Learning, 78, 37–47. https://doi.org/10.1002/tl.7804 Li, K., & Keller, J. M. (2018). Use of the ARCS model in education: A literature review. Computers & Education, 122, 54–62. https://doi.org/10.1016/J.COMPEDU.2018.03.019 Means, T. B., Jonassen, D. H., & Dwyer, F. M. (1997). Enhancing relevance: Embedded ARCS strategies vs. purpose. Educational Technology Research and Development, 45(1), 5–17. Woo, J.-C. (2014). Digital game-based learning supports student motivation, cognitive success, and performance outcomes. Educational Technology & Society, 17(3), 291–307.
A First Approach to Authentication Based on Artificial Intelligence for Touch-Screen Devices

Most authentication schemes follow a classical approach, where the users are authenticated only once at the beginning of their sessions. Therefore, it is not possible to verify the legitimate use of such a session or to detect any usurpation. In order to address this issue, we propose a second-phase authentication scheme that provides not only continuous user authentication during their sessions, but also in a transparent manner, since no additional or intrusive hardware is required. To this purpose, a novel approach was applied to create specific user profiles by means of different Artificial Intelligence techniques. In this work, we aim to study the feasibility of such an authentication scheme, so that it could be applied to a real time environment in order to verify the identity of the actual user against the legitimate user profile.
Modeling and Simulation of Single Phase Grid Voltage Phase-Locked Method Based on Unscented Transformation Kalman Filter

In order to meet the requirements of new energy power connected to grid, it is crucial to obtain the grid synchronization information as the control signal. The method of single phase grid voltage phase locked loop is studied in this paper. And the method of unscented transformation Kalman filter is used to obtain the synchronization information of grid. Based on the analysis of basic principles of unscented transformation Kalman filter, the transformation of UT transform was introduced to replace the nonlinear function. And according to the expected grid synchronization information, state space model of voltage signal is derived to improve the estimation precision of the state variables. Finally, the simulation results of different fault states are carried out to verify the effectiveness of the proposed method on tracking the synchronization information.
Testing of code-based pseudorandom number generators for post-quantum application

Recent advances in quantum computing based on new principles and phenomena of quantum mechanics show that quantum cryptanalysis of modern cryptographic algorithms can become real in the coming years. For example, according to the forecasts of the US National Institute of Standards and Technology (NIST) in the next decade, quantum cryptanalysis of most asymmetric cryptosystems used today will be available. For this reason, NIST announced a contest of post-quantum (i.e., resistant to quantum cryptanalysis) cryptographic algorithms for directional encryption, electronic signature, and key encapsulation. In the coming years, standardization of the selected algorithms and their early implementation is expected. Obviously, other cryptographic algorithms, for example, pseudorandom number generators based on solving complex theoretical problems (discrete logarithm, factorization, etc.), will also be subject to further revision. These generators must also be replaced by reliable and safe algorithms suitable for use even in the conditions of the possible application of quantum cryptanalysis (i.e., in the post-quantum period). This paper is devoted to the study of provably secure generators whose resistance is based on the complexity of solving the syndrome decoding problem. This structure allows the generators to keep the resistance to both classical cryptanalysis and cryptanalysis using quantum computing. The design features of classic code-based generator representative proposed by Fisher and Stern are presented, and a new generator scheme is proposed to overcome the drawback of its predecessor, such as a reduced practical maximum period length, by using a linear feedback shift register. Within this paper Results of heuristic testing of the above-mentioned generators is conducted in terms of the sequence period, the speed of sequence generation, the cryptographic resistance of the generators and the possibility of their use in the post-quantum period.
Pengelolaan Arsip Dalam Mendukung Pelayanan Informasi Pada Bagian Tata Usaha di Dinas Sosial Kabupaten Ponorogo

Archives are very important for an organization because as a source of organizational information relating to the development and operational activities of a business or government organization. More and more organizational work will also increase the number of records produced. From time to time the number of records will increase, requiring management. Records management is an important aspect in an organization, both business organizations and good government so that the information to be sought can be found quickly and accurately. Managing archives manually that has been done so far, has several weaknesses, including: requiring large space and storage, the risk of damage to the archive due to disaster, requires a lot of employees and a long search time. This study aims to determine the records management procedure which includes receiving incoming and outgoing mail, archiving, rediscovering records, and maintaining records. This research is a qualitative descriptive study. The subjects of this study were 3 administrative staff from Ponorogo Regency Social Service. Data analysis refers to the Miles and Huberman model using source triangulation and research instruments in the form of interviews and documentation. Based on the results of a study entitled "Management of Archives in Supporting Information Services in the Administration Section at the Social Service Agency of Ponorogo" that records management in supporting information services has been running well because the management system is in accordance with the filing procedures.
Improvement of Parking Security System using Artifical Intelligence Imaging Technology

Parking space is a public facility available at an agency or office that serves to temporally store vehicles, the vehicle that enters the parking area is become tens or even thousands, because tahat reason parking system and management area is needed. Such arrangements able parking procedures and even other support systems such as adequate parking facilities and infrastructure, other functions is making and developing parking systems in general for provide security and comfort, bacause the condition vehicle will be well organized in terms of vehicle placement and security and safety can be used for 24 hours. Constraints this time increasing number of vehicles requires a wider parking area or space, the slow pace of vehicle data collection because the technology used is still carried out vehicle license plate validation manually, another problem is the placement of large areas, this limitation is based on the number of parking attendants in the field is very limited, so extra time are needed to arrange and check the vehicles that have entered the parking area. This problem can be handle using image processing and OCR algorithm techniques, this technique has been implemented in several developed countries that are used to manage they parking system, image processing is used to record and monitor the number of vehicles in the area by reading the number plate, scanning techniques using OCR (Optical Character recognition techniques) , data from a vehicle plate image is converted into text or numbers and can be stored inside database, data from the vehicle plate that has been stored is then matched with a vehicle photo, with help the system can be integrated with the camera so that the supervision of the parking area can be carried out directly for a long time, the system is able to display data visually.