Reviewerly/exHarmony huggingface dataset:
Research on Application of Cognitive-Driven Human-Computer Interaction

Human-computer interaction is an important research content of intelligent manufacturing human factor engineering. Natural human-computer interaction conforms to the cognition of users' habits and can efficiently process inaccurate information interaction, thus improving user experience and reducing cognitive load. Through the analysis of the information interaction process, user interaction experience cognition and human-computer interaction principles in the human-computer interaction system, a cognitive-driven human-computer interaction information transmission model is established. Investigate the main interaction modes in the current human-computer interaction system, and discuss its application status, technical requirements and problems. This paper discusses the analysis and evaluation methods of interaction modes in human-computer system from three levels of subjective evaluation, physiological measurement and mathematical method evaluation, so as to promote the understanding of inaccurate information to achieve the effect of interaction self-adaptation and guide the design and optimization of human-computer interaction system. According to the development status of human-computer interaction in intelligent environment, the research hotspots, problems and development trends of human-computer interaction are put forward.
LAYANAN INFORMASI UNTUK MENINGKATKAN PEMAHAMAN TENTANG KARIR BAGI KEPALA KELUARGA KULI PASIR

This study aims to determine the success or failure of the information services provided to improve understanding of careers for the head of the sand coolie family in the Pitameh Village Tanjung Saba Nan XX Rt 004 / Rw 001 Lubuk Begalung District Padang City. This research uses the type of Action research. This research was conducted with a two-cycle method. Tools for collecting data are laiseg and observation sheets. Based on observations in this first cycle service, the activeness of the client in participating in information service activities stated in the presentation scale is 33.3% so that the client is categorized in Very Poor evaluation and has not yet gained knowledge new about other work that can be done when the weather conditions are bad, so the next cycle needs to be done. Based on observations during the service delivery process, an increase in client activity was stated in the presentation scale was 83.3% so that the client was categorized in Good rating. Then the results obtained from the two cycles obtained that the implementation of information services was successful. Key Words : Information Services, Career, Coolie
Situation-Aware Self-Adaptive Localisation Framework: A Knowledge Representation and Reasoning approach

Substantial efforts are being made to make robots more reliable and safe to work around humans. Robots often perform flawless demos in a controlled environment under the supervision of an operator but tend to fail in the real world when deployed for a long period of time due to faults and environmental disturbances. A robotic system is composed of different physical and software components whose characteristics are likely to change over time. Assumptions made about the system during the design phase may change over time, especially when a system is deployed for long periods. Such changes that are often ignored, need to be considered. Environments in which a robot operates are dynamic with high uncertainty and unpredictability. In such scenarios, capabilities such as situational awareness and self-adaptation will be useful to create more robust, resilient and reliable solutions. The objective for this thesis work is to develop a framework which will embed capabilities such as situational-awareness, context-awareness and self-adaptation within a robot. This research provides a novel, reusable and generalised localisation framework called Situation-Aware Self-Adaptive (SASA) localisation framework for robotics application. This framework is developed using knowledge representation and reasoning which will provide a robot with the capability of adapting according to the situation. We have demonstrated the applicability of the SASA framework to a mobile robot localisation use case. In this research work, we have demonstrated the performance of the framework during environmental disturbances due to poor illumination and featureless environment and internal fault due to component failure. We have also demonstrated the reusability, changeability and the consistency of SASA framework. This work showed that the situational-awareness and self-adaptation capability enhances the robot’s localisation ability and provides reliable localisation even in the case of environmental uncertainties and internal faults where conventional localisation systems fail. This thesis represents a leap forward in the direction of creating more reliable and resilient solutions for robotic applications and it lays the foundations for further research in this direction.
KINERJA SISTEM FILTRASI DALAM MENURUNKAN KANDUNGAN TDS, Fe, DAN ORGANIK DALAM PENGOLAHAN AIR MINUM

Clean water has not been able to fully the needs of the community, where there are still a number of people who use well water to fully their water needs.. Well water has high content of Fe and Mn that must give special treatment so that the quality of the water produced can meet standards. The study focused on the design of two-stage filtration equipment. The first stage of filtration uses a multi media filter with the contents of zeolite, silica sand and activated carbon. The second stage of filtration using a micro membrane filter with a pore size of 0.5,0.3 and 0.1 μm. After processing the well water through device designed, the optimum treatment results are obtained at a flow rate of 33 ml / s with a reduction in TDS content of 35%, a reduction in Fe content of 76.19% and a decrease in organic matter content of 78.76%. These three parameters have met the quality standards based on PERMENKES RI No.492 / Per / IV / 2010 with TDS content of 494 mg / l, Fe of 0.01 mg / l and organic matter content of 1.2 mg / l
LibGuides: March is Reading Month: Picture Books

This LibGuide is for a public library's March is Reading Month reading challenge. The target audience is elementary school-aged library patrons and their parents. Find picture books to read for the challenge. Recommended for grades K-2nd.
Privacy-Preserving Sharing of Health Data using Hybrid Anonymisation Techniques : A Comparison

Data anonymisation is not a trivial task due to the challenge of balancing the trade-off between anonymity and data utility. A fairly new attempt to address this challenge is the development of hyb ...
An electronic reference guide for developing self-managed learning in the foreign languages major

Self-managed learning is a way in which individuals can manage their own learning. This means universities should guide students to take responsibility for decisions about what and how they learn, and when and where they learn so they can continue to extend their repertoire of capabilities without the need to necessarily be reliant on another human resource to teach or manage their learning. This approach holds paramount importance in the current conditions of Cuban education with the generalized used of digital devices as part of the Information and Communications Technologies and the use of databases for sharing and consulting information. Having access to the digital database plays a significant role in the development of language skills in a language classroom. The present research aims at designing an Electronic Reference Guide to be used as the link between these worlds, providing students with a tool to enable their involvement in their own learning. For the achievement of this goal the following methods were implemented: historical-logical, analytical- synthetical, inductive- deductive, observation, survey, interview and percentage analysis. The results obtained in terms of efficient independent study and learning management of the sample while using the product elaborated proved its potential.Keywords: Self-managed learning, Self- Access Center, Electronic Reference Guide. RESUMENEl aprendizaje auto gestionado es una forma en la que los individuos pueden administrar su propio aprendizaje. Esto implica que las universidades deben guiar a los estudiantes a asumir la responsabilidad sobre que y como aprenden, cuando y donde para que puedan expandir su arsenal de habilidades sin que necesariamente dependan de otro recurso humano que les instruya o conduzca su aprendizaje. Este enfoque cobra importancia significativa en las condiciones actuales de la educacion cubana con el uso generalizado de dispositivos digitales como parte de las Tecnologias de Informacion y Comunicaciones y el uso de bases de datos para compartir y consultar informacion. Tener acceso a una base de datos digitalizada juega un papel importante en el desarrollo de habilidades linguisticas en la clase de idiomas. La presente investigacion tiene como objetivo disenar una Guia Electronica de Referencia que sirva de vinculo entre estos mundos, brindandole a los estudiantes una herramienta que les permita involucrarse en su propio aprendizaje. Para la consecucion del objetivo se emplearon diferentes metodos como historico-logico, analitico-sintetico, inductivo-deductivo, observacion, encuesta, entrevista y analisis porcentual. Los resultados obtenidos en cuanto a estudio independiente efectivo y gestion del aprendizaje en la muestra prueban el potencial del producto elaborado.Palabras clave: Aprendizaje auto gestionado, Centro de Autoacceso, Guia Electronica de Referencia.
APPLICATION OF STAD LEARNING MODEL ASSISTED MACROMEDIA FLASH IN HUMAN BLOOD CIRCULATION SYSTEM MATERIAL

AbstractThis research is a Classroom Action Research (CAR) which is done in 2 cycles. The aim of this research is to know the application of cooperative learning model type STAD with macromedia flash in learning material about human blood circulation system to improve students’ learning result. Method in this research is qualitative method. The result of research shows that in teaching and learning activity, the activity of teacher in cycle I showed good and very good criteria with percentage 96.15% and the students’ activity showed good and very good criteria with percentage 73%. In the cycle II both of the teacher’s activity and the students’ activity got good and very good criteria with percentage 100%. The learning result in the cycle I, 57.89% of students got point under 70, in the cycle II got increase become 89.47% for the students’ who can pass the activity. Thereby, it can be concluded that by using cooperative learning model type STAD with macromedia flash can improve the students’ learning result in learning material about human blood circulation system.Keywords: STAD Learning Model, Macromedia Flash, Students’ Learning Result
Library Resources: Almanac eBooks, Quotation and Other General Reference eSources: Find Books of Quotations

A variety of online Almanacs and Quotation sources. Provides a brief description of each eBook along with a corresponding link.
Uji Akurasi Klasifikasi Terbimbing Berbasis Piksel Pada Citra Sentinel 2-A Menggunakan Citra Tegak Resolusi Tinggi Tahun 2019 di Kota Padang

Currently, land cover data sourced from satellite imagery are increasingly being used with advances in sensing technology that are increasingly sophisticated. Maximum likelihood is one of the digital image classification methods that have long been used for pixel-based image classification. This study aims to classify land cover on Sentinel-2A satellite imagery using the maximum likelihood method to see the level of accuracy in that method. The accuracy test is carried out by comparing the results of the classification of the land cover map on the Sentinel-2A image with the sample in the High Resolution Upright Image with the acquisition date which is said to be Worldview and Geoeye imagery in 2019. From the classification results obtained an overall value of 90.81% with the type of land cover highest level of accuracy is wetlands and built-up areas. Meanwhile, the type of cover with the lowest accuracy or the most errors occurred in mixed garden types.
(Invited) Friction Processing and Application to High Strength Hydrogel Surface

In the medical field and food manufacturing process, labor costs and manufacturing costs are reduced, delivery times are shortened, and production is streamlined in all aspects. In particular, the slider part uses many consumables that have a negative effect on the human body and the environment. In this research, we aim at the low friction surface of the functional gel that realizes human safety and cost reduction by replacing a part of the functional gel with the functional gel. This technique involves laser cutting the gel, and the method of creating the sliding and gel surfaces comes from the method of creating a low friction surface by texturing. The textured surface swells uniformly and the coefficient of kinetic friction was measured by the ball-on-disk friction test. The friction force was measured and the coefficient of friction of the untreated and laser treated DN gel surface was calculated. The results show that laser machining (finishing) can reduce the coefficient of friction. Observation of the gel surface suggests that the cause of friction reduction is a change in the roughness of the gel surface due to laser processing. This finding is expected to guide us to a better understanding of the physicochemical properties of hydrogels. We will introduce an example of using this technology as a machine element. The dynamic friction coefficient of the low friction gel surface prepared by this method was about 1/3 of that of the untreated gel surface. It was also confirmed that wear marks disappeared depending on the degree of texturing. Using this technique, it can be easily applied to gel surfaces with low friction. We also designed and developed a unique friction tester for machines. Furthermore, by replacing the metal sliding part with a gel mechanical material, we succeeded in miniaturizing the ultrasonic diagnostic equipment. Figure 1
Generating Quantified Referring Expressions through Attention-Driven Incremental Perception

We model the production of quantified referring expressions (QREs) that identity collections of visual items. A previous approach, called Perceptual Cost Pruning, modeled human QRE production using a preference-based referring expression generation algorithm, first removing facts from the input knowledge base based on a model of perceptual cost. In this paper, we present an alternative model that incrementally constructs a symbolic knowledge base through simulating human visual attention/perception from raw images. We demonstrate that this model produces the same output as Perceptual Cost Pruning. We argue that this is a more extensible approach and a step toward developing a wider range of process-level models of human visual description.
PENYEBAB KURANGNYA TEKANAN HYDROPHORE TANK TERHADAP SUPLAI AIR TAWAR DI KAPAL AHTS. ETZOMER 501PT. ORELA SHIPYARD GRESIK

Hydrophore tank or water pressure tank is a hydrophore systems provide water with the required pressure on your ship from the engine room to the bridge and from all cabins. Distributing water evenly from its source all the way to all user points.. The water in the tank is flowed into a building distribution. The pump works automatically which is regulated by a pressure detector, which closes / opens the switch of the pump motor electric motor. The tank press system is usually designed so that the air volume of no more than 30% of the tank volume is 70% the volume of the tank containing water with the system running at 0.70 bar and dead at 1 bar.Based on the results of research conducted by the author on the AHTS.Etzomer 501 on the date of October 2019 to January 2020 it can be concluded that the cause of the hydrophore tank pressure on freshwater supalai from the software category in the form of maintenance is not according to menegement plan, the hardware category in the feed water pump works abnormally, the environment category is not the use of fresh water, the category of lifeware in the form of lack of knowledge and experience about hydrophore tanks. Efforts are made by checking and repairing the maintenance plan schedule, conducting daily inspection and maintenance on the feed water pump, limiting the use of fresh water so that the performance of normal hydrophore tanks, providing training. Keywords: Hydrophore tank, Feed water pump, preasure detector,transmiter,menegement plan.
BCCC LibGuides: Digital Learning & Leisure: Discover & Learn

Free resources that online learners can access remotely to keep one's imagination open and intellect sharp.
THE USE OF ENGLISH IN THE MARKETPLACE: THEORITICAL ISSUES IN COMMUNICATION STYLES AND COMMERCIAL TRANSACTION

This paper is an exposition on the use of English in informal settings like the market square. A market is identified as an institution, system, infrastructure, social relation or procedure in which the act of exchange of goods or services are carried out. The market serves as a platform for business transactions between people of diverse social cultural and political economic backgrounds. Sellers and buyers in the marketplace use language to communicate. The focus of this paper is on the three varieties of English being used in the market place in Nigeria which is patterned along the variety of the people that are involved in selling and buying. The paper is in four parts which include, introduction, literature review, theoretical discourse, analysis and conclusion. Primary and secondary data were collected and analysed in themes. This paper argued that the multilingual nature of language users in Nigeria’s markets is responsible for the use of three types of English and that communication styles are influenced by the level of education of language users in the market.
Knowledge-based Algorithms for BDI-agents

Multiagent algorithm is a knowledge-based distributed algorithm that solves some problems by means of cooperative work of agents. From an individual agent's perspective, a multiagent algorithm is a reactive and proactive knowledge/believe-based rational algorithm aimed to achieve an agent's own desires. In the paper we study a couple of knowledge-based multiagent algorithms. One particular algorithm is for a system consisting of agents that arrive one by one (in a non-deterministic order) to a resource center to rent (for a while) one of available desired resources. Available resources are passive, they form a cloud; each of the available resources is lent on demand if there is no race for this resource and returns to the cloud after use. Agents also form a cloud but leave the cloud immediately when they rent a desired resource. The problem is to design a knowledge-based multiagent algorithm, which allows each arriving agent eventually to rent some of desired resources (without race for these resources).
Searchable Encrypted String for Query Support on Different Encrypted Data Types

Data encryption, particularly application-level data encryption, is a common solution to protect data confidentiality and deal with security threats.Application-level encryption is a process in which data is encrypted before being sent to the database.However, cryptography transforms data and makes the query difficult to execute.Various studies have been carried out to find ways in order to implement a searchable encrypted database.In the current paper, we provide a new encrypting method and querying on encrypted data (ZSDB) for different data types.It is worth mentioning that the proposed method is based on secret sharing.ZSDB provides data confidentiality by dividing sensitive data into two parts and using the additional server as Dictionary Server.In addition, it supports required operations on various types of data, especially LIKE operator functioning on string data type.ZSDB dedicates the largest volume of execution tasks on queries to the server.Therefore, the data owner only needs to encrypt and decrypt data.
자유학기제 적용을 위한 진로탐색형 통합무용교육프로그램 개발

I have concluded that dance is the most suitable art for an Applying Free Learning Semester. The goal is to build teenagers’ career awareness and to develop an Integrated Dance Education Program, which I believe is essential. Upon searching the literature regarding the definition and management of the Applying Free Learning Semester, I realized that there are few dance programs when I looked through domestic and international pre-studies. Moreover, by theoretical consideration of integrated education, I realized that dance is the best curriculum to integrate with other subjects flexibly, especially when compared to other art genres. Thus, it is the most appropriate art curriculum to consider for the Applying Free Learning Semester.
How to Evaluate the Security and Performance of an Image Encryption System

Almost all technical people know about images and image encryption, but some of them are not aware of the security and performance of the encryption systems. All image encryption systems are capable of encrypting the images, but some are not so secure. However, the question is how to evaluate the encryption systems. This paper gives you what are the analyses that are possible for evaluating the security and performance of the encryption systems. We hope this paper gives you an insight into Images, Image encryption, Security attacks, Noise and information loss, Evaluation Criteria, Analysis, Resistance, Key, Speed, Complexity, and other parameters.
Peramalan Penjualan Kendaraan Mobil Segmen B2B dengan Metode Regresi Linear Berganda, Jaringan Saraf Tiruan dan Jaringan Saraf Tiruan – Algoritma Genetika

This study aims to create an effective forecasting model in predicting sales of car products in the B2B segment (Business to Business) to obtain estimates of product sales in the future. This research uses multiple linear regression and artificial neural networks that are optimized by genetic algorithms. Forecasting factors for car sales are generally issued by total national car sales, the Consumer Price Index, the Consumer Confidence Index, the Inflation Rate, Gross Domestic Product (GDP), and Fuel Oil Price. The author has also gotten the factors that play a role in the sale of B2B segment by diverting the survey to 106 DMU (Decision Making Unit) who decide to purchase cars in their company. Then we evaluate the results of the questionnaire in training data and simulations on the Artificial Neural Network. Optimized Artificial Neural Networks with Genetic Algorithms can improve B2B segment car sales' accuracy when comparing error values in the ordinary Artificial Neural Network and Multiple Linear Regression.