Reviewerly/exHarmony huggingface dataset:
Notifikasi Tagihan Pembayaran Berbasis Whatsapp Gateway Untuk Pelanggan Aplikasi Katib ID Menggunakan Metode Mesin Turing

KATIB.id is a business recording tools and management system application that is intended to make it easier for business people to manage and develop their business. Every month, users are required to pay a bill for the use of the application system. However, users often forget to pay if they are not reminded by the developer. There needs to be a notification containing the billing bill that is sent to regular users at the end of every month. The bill notification is currently still being delivered manually via private WhatsApp messages one by one so that this can make it possible for messages not to be spread optimally when the number of application users has been counted. The billing message should be able to spread automatically to each user without any worries caused by the limitations of the developer team. In overcoming these problems, a study was conducted on the WhatsApp Gateway which will be integrated with the automation system in the process. Where in this study the distribution of billing information can be sent through the WA Business application with a broadcast system to each user based on the telephone number recorded in the application. Through WhatsApp Business in delivery because the chat application is closer to customers and can view messages directly and at any time compared to the intensity of users in opening messages via Email. Therefore we need a method, one of which is the Turing Machine Model combined with REST API Technology.
Rapid prototyping of evolution-driven biclustering methods in Julia

Biclustering is a technique of detecting meaningful patterns in tabular data. It is also one of the fields in which evolutionary algorithms have risen to the very top in terms of speed and accuracy. In this short paper we summarize the results of porting one of the leading evolutionary-based biclustering methods EBIC to Julia - an emerging high-end programming language. This is probably the first biclustering package developed in this programming language. The main findings of this study are that flexibility combined with high performance make Julia an appealing platform for development and validation of new biclustering methods.
Segmentation of Spatial and Geometric Information from Floorplans using CNN Model

In automated document analysis, floorplans are a concern for several years and algorithmic approaches have been used until recently. This problem has also improved output with the emergence of Convolutionary neural networks (CNN). In this study, it is the task to retrieve space and geometric data from planes as accurately as possible and the bulk of the information is extracted from a plane image by means of instance segments, such as the Cascade Mask R-CNN. A new way of using keypoint CNN is presented in order to supplement the segmentation, so that precision corner positions can be identified. Then they are coupled to the resulting segmentation in a post-processing stage. With an average IoU of 72.7% compared to 57.5%, the resulting segmentation scores surpass the existing benchmark for CubiCasa5k floorplan datasets. In addition, the mean IoU is increased in almost every class for individual classes. Cascade masks R-CNN have also shown to be more appropriate for this mission than R-CNN masks.
Library Guides: Issues in Society: Crime & Justice

Background research resources for Senior School students. Each 'Issues in Society' eBook targets a specific social issue.
Pattern of Neurological Disorders in an Adult Neurology Clinic at Abakaliki Nigeria

BACKGROUND: Neurological disorders are common with increasing prevalence worldwide. The pattern of their presentation at Abakaliki Nigeria is not known. It is against this background that we embarked on this retrospective observational study on the pattern of neurological disorders in an Adult neurology clinic at Abakaliki Nigeria.&#x0D; &#x0D; METHOD: This is a retrospective observational hospital based study where the attendance registers of the 2 neurology clinics were used to extract demographic and clinical information of patients seen at the clinics from January 2019 to June 2020.&#x0D; &#x0D; RESULTS: A total of 1910 (72%) patients (Male- 1063, Female- 847) had neurological disorders. Common neurological disorders include Stroke, Seizure disorder, Parkinsonism, Dementia, Spondylosis, and headache.&#x0D; &#x0D; CONCLUSION: Neurological disorders are quite common in neurology clinics at Abakaliki Nigeria with preponderance of stroke.
SENTIMET ANALYSIS: REVIEW EXTRACTION FOR CHECKING QUALITYOF PRODUCT

Sentiment Analysis and Opinion Mining has become an investigation trouble spot with the speedy improvement of online business destinations. Amazon is a normal web business application with a large number of customers imparting their assumption consistently for a thing experience. In this work, we examined completely the procedures applied in feeling gathering over thing review data : word reference based, rule-based and AI put together methodologies thus with respect to Our instructive assortment is crawled and cleaned with the rule of AI, colossal data and ordinary language taking care of system.
Tecnologías de información y comunicaciones (TIC) en el aula del siglo XXI: Cómo acompañar a profesores y profesoras en este desafío

This article analyzes the underlying challenges rising from incorporating ICT in education, particularly regarding changes that should be implemented in future educational settings and in the corresponding practices these contexts require. We discuss two key areas that could guide possible educational policies. At the same time, they may contribute towards a more successful and efficient ICT implementation; namely, a reconceptualization of the framework that sustains ICT in education, and a model updating of both initial and ongoing teacher training.
Implementasi NoSQL Key-Value Store Database Menggunakan Memcached untuk Membangun Model Infrastruktur Big Data

Along with the rapid use of computers, data growth in the world is growing rapidly. The growth of data that occurs can cause the RDBMS can no longer process and store data that much. Therefore, Big Data technology emerged that can be the solution for now. NoSQL (Not Only SQL) is the latest generation database that leads to non-relational and horizontal scale databases. Big data can be handled using NoSQL, therefore a big data infrastructure model was built using NoSQL on Memcached multinode clusters with three nodes. From the infrastructure, performance tests are performed based on runtime, latency and throughput using the workloads on YCSB tools. The workload used is A, B, C, D, E, and F which consists of the process of load and run. Testing is done based on variations in data size (500,000, 1,000,000, 1,500,000 records) and the number of nodes used (1,2, and 3 nodes). Of all the design models made based on variations in the number of nodes it is suitable and recommended for workloads B, C, D, and E because the workload has a percentage of read operations of 50% to 100%.Keywords: Big data, Memcached, YCSB
Vibration insensitive single-shot interferometry using a wide-field laser microscope

Abstract Here, we report measurements made with an external vibration-insensitive single-shot interferometer, which is applicable for on-machine measurement. Previously, we developed a simple single-shot interferometry method in which the optical intensities of interference fringes appear not as sinusoidal distributions but have a sawtooth-like distribution, and the peak distortion direction depicts the slope of the measured surfaces. These properties allow use of this method in vibration-insensitive interferometry. In this study, we have experimentally confirmed this concept through measurement of a quarter of a Si wafer specimen 50 mm in diameter. The vibration source was a motorized linear stage the surface of which fluctuated between ±400 nm in height. The obtained surface profiles of the Si wafer were consistent with measurements made with a commercial interferometer within 30 nm.
Guides: Reading Comprehension Under Time Constraints: Strategies & Resources: Speed Reading

Strategies and resources for speed reading and reading comprehension on standardized tests under time constraints.
Risikoorientierte Analyse und Handhabung von Anforderungsänderungen

Requirement changes are a major cause for project failure. A systematic approach to manage those changes from the very beginning should be an in-tegral part of each development project. Although this is accepted in both sci-ence and industry, there is no adequate approach to tackle the issue, especially in the context of interdisciplinary systems. In this paper, a secondary analysis is done to identify all information that is necessary to manage those changes efficiently. The demanded information is pictured in a reference model and then mapped with the capabilities of existing approaches. Based on this, research gaps are identified and used to guide future research efforts.
Stake Health Monitoring System Epithetical on IoT and Cloud an Efficient Data Stockpile

IoT is a heterogeneous network of smart connected devices – each of which collect and share data about how they are used and the environments in which they are operated. The IoT network consists of sensors / devices transmitting data to the cloud through various device-based communication technologies. Post uploading the data to the cloud, software processes the data and can then start taking an action such as sending a notification or updating the sensors / devices automatically without a manual intervention. Innovation assumes that the important and significant element in medicinal activities or services for substantial or substantial contraptions as well as in affiliation with affiliation, recording and appear contraption. It is crucial to show or screen distinctive therapeutic parameters conjointly post operational days. Here after the foremost advanced or later design in Healthcare specialized too master strategy utilizing IOT is balanced the micro-controller gets the sensor data and sends it to the framework all the way through Wi-Fi and subsequently gives persistent watching of the human administrations or exercises parameters for master or masters. The data can be gotten to whenever by the pro. The controller to boot related with flag to caution the supervisor almost assortment in sensor surrender. However, the noteworthy issue in farther understanding checking system is that the data has to be securely transmitted to the objective conclusion and course of action is made to empower fair affirmed client to induce to the information.
INTERPERSONAL MEANING ON TEACHER TALK: A FUNCTIONAL GRAMMAR APPROACH

This study was aimed to find out the interpersonal meaning realization on teacher talk and to describe the underlying reason of its realization. The research was conducted by using descriptive qualitative. The data were the talks of English teacher at SMA SwastaTeladan Medan. The data were analyzed based on interpersonal meaning analysis of Systemic Functional Grammar which introduced by M.A.K Halliday. The findings of this study showed that 226 of 248 clauses were identified as mood, 98 of 248 clauses expressed modality and 22 of 248 of clauses were identified as minor clause.Further, the distribution of mood types showed that there were three types of mood realized on teacher talk. They were declarative mood (58 %), interrogative mood (17 %), and imperative mood (16 %). Moreover, the distribution of modality showed that 27 of 98 clauses (27 %) were used modal adverb which expressed median value of probability, 16 % of clauses were identified as high obligation (have to, must), then followed by 13 % of clauses were identified as median obligation through the use modal finite of should and need to.
МОДУЛЬНАЯ ТЕХНОЛОГИЯ ОБУЧЕНИЯ И ЕЕ ПРИМЕНЕНИЕ НА УРОКАХ ИСТОРИИ.

The article is devoted to the study and application of modular technology in history lessons. The development of the world community in recent decades more and more clearly puts the priority of the human person at the center of the education and upbringing system. In modern society, the need for a teacher who is able to modernize the content of his activity through his critical, creative understanding and application of the achievements of science and advanced pedagogical experience has increased. Among the problems of pedagogical science, claiming a stable relevance in thedevelopment of the modern educational paradigm, is the problem of forming the foundations of pedagogical skills of future teachers. The use of modern educational technologies increases the effectiveness of the educational process, strengthens the motivation of learning and cognitive activity of students, constantly supports teachers in a state of creative search for didactic innovations. Pupils from the objects of the educational process turn into active and successful subjects, which contributes to the success of the teacher as a professional
Bio medical image retrieval using support vector machine

Bio Medical Image Detection is done by using the Image retrieval method. It analyzes the contents of the image rather than the metadata associated with the image. Here the input image passes through a series of tasks which is the classification task. A classification task involves with training and testing of data. For proper training and testing of data, SVM can be used. The goal of SVM is to produce a model which predicts target value of data instances in the testing set which are given as attributes. Actually, this work can provide the result values by doing the retrieving the medical image in high resolution. This work introduces the detection of medical images using Support Vector Machine.
Technology Entrepreneurship (ENT600) : Blueprint / Nur Fakhriah Aziela Abu Sepian

Our company provide people a dustbin with the various of advantage especially in absorbent odor by the special powder that can absorb the bad odor from the rubbish.the dustbin also have the fresher, water garbage absorber and pedal dustbin in advantage reduce the bacteria spread by hand. In addition, the dustbin no need to be wash regularly.This dustbin can attract the hygienic person and also for busy person that did not have many time to wash the dustbin regularly. The dustbin is really useful to the household, also for office. Our product design was not very small and not very large, just suitable to put in the room
Optimizing Artificial Neural Network for Functions Approximation Using Particle Swarm Optimization

Artificial neural networks (ANN) are commonly used in function approximation as well as classification problems. This paper shows a configurable architecture of a simple feed forward neural network trained by particle swarm optimization (PSO) algorithm. PSO and ANN have several hyperparameters that have impact on the results of approximation. ANN parameters are the number of layers, number of neurons in each layer, and neuron activation functions. The hyperparameters of the PSO are the population size, the number of informants per particle, and the acceleration coefficients. Herein, this work comes to spot the light on how the PSO hyperparameters affect the ability of the algorithm to optimize ANNs weights in the function approximation task. This was examined and tested by generating multiple experiments on different types of input functions such as: cubic, linear, XOR problem. The results of the proposed method show the superiority of PSO compared to backpropagation in terms of MSE.
Touchless Interaction on Mobile Devices Using Embedded Ambient Light Sensor

In this paper, we introduce and evaluate a mobile application service that allows contact-free interaction with a mobile device by utilizing only an ambient light sensor. The proposed solution enables single-handed UI navigation without touching the smartphone screen. The advantage of implemented service is the use of an embedded light sensor, which the majority of manufactures presently integrate into mobile devices. Hence, the use of any additional accessories or external sensing hardware is not required. The service itself is designed as a floating widget that can be attached to the target mobile application, thus augmenting it with Around Device Interaction (ADI) support. Two different navigation patterns (manual and automatic) can be utilized to control the widget position on the screen and activate target UI elements. A controlled experiment involving 20 participants was conducted in order to evaluate and comparatively assess the performances of the implemented solution. We present and discuss the findings of this empirical research.
A HIGH-CURRENCY GEO-SPATIAL SERVICE GATEWAY FOR NATIONAL GEO-INFORMATION SERVICE PLATFORM

Abstract. Today, more and more geospatial services are provided by the governments and enterprises to share various geographic information data and functions, and services-based application integration has become a trend. However, many problems existed in the geo-platform for Geographic information sharing while providing services in the form of API, such as the coexistence of different versions of the same service, similar service routes of different APIs, cluttered service protocols, and complex authority management, that makes the integration among different geographic information services difficult and reduces the development efficiency. There are already some API gateway technologies to solve the problem, but the characteristics of geospatial services are not considered in the existing product. To address these problems, this paper proposed a high-currency geospatial service gateway system for National Geo-Information Service Platform based on the opensource framework of Kong for realizing the unified management and authorized open. The system provides the whole lifecycle management and fine-grained control for the service, and the functions such as unified geospatial service access, protocol conversion, service management, authorization verification, rate limiting, and security protection are also equipped. The system has been released and integrated in the National Geo-Information Service Platform, supporting hundreds of millions of service invocation every day. The result proves it simplifies geospatial services management, deployment, and application, and benefits the exchanging and sharing of geographic information.
Web application security – Automating the manual exploitation methods and eliminating false positives

Many web application security scanners are prone to false alarms indicating that your website is vulnerable when it isn’t. False positives are a major problem in web application security, as they make security testing slower, less accurate and more frustrating. Proof-Based Web Vulnerability Scanning Technology in DevSecOps/SecDevOps environment will let you eliminate security vulnerabilities as early as possible, helping you save a lot of resources. It would automatically exploit identified web security vulnerabilities and also produce a proof of exploits that confirms that the identified vulnerabilities are genuine and not false positives. In this paper we present a technique to find web vulnerabilities using our proposed algorithm and provide extracted sample data as proofs. Our tool identifies vulnerabilities with the same level of certainty as a penetration tester or bounty hunter. This will assist developers and security teams in fixing vulnerabilities in less possible times.
Aproximación al trasvase automático de predicados de FrameNet al español mediante WordNet

&lt;p&gt;In the field of Natural Language Processing, linguistic resources are structured and detailed descriptions of a certain language. They are considered as key elements for studying languages and developing applications. However, these repositories are slow and difficult to build, and most of them focuses on English. This work tries to improve the lack of linguistic resources in Spanish by transferring part of the information encoded in the FrameNet project into Spanish. For this purpose, we developed an automatic procedure able to align the different frame predicates with the WordNet synsets that best represent them. Our system reaches an 88% precision and makes it possible to reuse this semantic resource for linguistic studies in Spanish.&lt;/p&gt;
Evaluasi Program Bantuan Operasional Sekolah (BOS) Pada SMP Negeri 6 Salatiga Menggunakan Discrepancy Evaluation Model (DEM)

This is an evaluation study for the School Operational Subsidy (SOS) program at SMP Negeri 6 Salatiga to identify the aspects of the design, installation, process, product, and cost benefit analysis.  Using the Discrepancy Evaluation Model (DEM), the subjects who participated were school committee members, school principals, treasurers, teachers and parents. The instruments were interview sheets, observation guidelines, and document study guidelines. The data analysis was done with percentage and categorical techniques. The results showed that: 1) in the design aspect, there was a 5% average gap between the standards set and the actual conditions of the program implementation, in very low category; 2) in the installation aspect, there was 0% or no gap between the standards set and the reality that occurs empirically; 3) in the process aspect, there was an average gap of 4%, in very low category; 4) in the product aspect, there was an average gap of 13%, in very low category; and 5) aspects of the cost benefit analysis, there was an average gap of 11% in very low category.
The Bumps - a grassroots community project

Article about the community renovation project to save Hackney Bumps skatepark. An interview with the Bumps regeneration team, including Dr Esther Sayers, and Editor of Grey Skateboard Magazine and Photographer, Henry Kingsford.
SISTEM INFORMASI PEMETAAN WIFI GRATIS DISKOMINFO KABUPATEN HULU SUNGAI SELATAN

The benefits of using wifi are now felt and can be seen from the increasing number of wifi service providers. It is very easy for the community to access the internet without having to use a cable, namely with a hotspot. The reason people choose wifi technology is because it is cheaper and easier to use. Free wifi is a community service program and makes it easier for the public to dig up information and has been installed in strategic places such as government offices, hospitals, and other public facilities where not many people know about the location of this free wifi due to lack of information about the location that is already available, facilitated the free wifi. The design of the system in this study uses Data Flow Diagrams and relations between tables. The application is designed using ArcView GIS 3.3 and Visual Basic 6.0. As for determining the location point using 2 maps with different scales so that point placement is more accurate.
A Secure Scalable Authentication Protocol for Access Network Communications using ECC

The secure message exchange is instrumental in the success of device-to-device communication. Any malicious activity has the potential to compromise the confidentiality or integrity of the messages exchanged between different user equipment. To address the aforementioned issue, this study proposes a novel elliptic curve cryptography based key-exchange protocol for authentication of two user equipment in network-assisted D2D communication. The proposed protocol is based on standard elliptic curve Diffie-Hellman key exchange and hash-based message authentication code. Subsequently, elaborate threat analysis of the proposed protocol against several adversarial attacks is presented to prove its resilience. The observed low computational time and communication overhead associated with this protocol and its resilience against known attacks advance its strong candidature for implementation of D2D communication in 5G cellular networks.