Reviewerly/exHarmony huggingface dataset:
Fast fractal image retrieval algorithm based on HV partition

Existing quadtree-based fractal algorithms and fractal algorithms based on horizontal vertical (HV) have the problems of long encoding time and low accuracy in the task of image retrieval. In this paper, an improved fast fractal image retrieval algorithm based on HV segmentation is proposed, which speeds up the coding time and improves the accuracy for real-time searching. In order to improve the coding efficiency, the proposed algorithm restricts R block segmentation to certain direction and location in the coding phase and uses the local codebook to find the optimal matching of the partitioned blocks. We also introduce a weighting equation calculating method of area intersection to the image matching. New weighting parameters with respect to the sizes of partitioning blocks are proposed to improve the accuracy of image retrieval. The constraint-based HV segmentation algorithm and the local codebook matching strategy are tested on the texture and Olivetti Research Laboratory (ORL) face datasets. The experimental results show that the proposed algorithm accelerates the speed of image encoding. When the recall ratio is 100%, the precision of our algorithm has improved significantly. The proposed algorithm based on HV segmentation outperforms traditional fractal search algorithms in terms of adaption adaptivity.
A Novel Two-Stage Intutitonistic Fuzzy Approach Proposal Based On Anp and Mathematical Modelling for Risk Assessment

Risk assessment (RA) is an activity performed to determine the hazards that may exist in the work areas.RA deals with complex expressions including hesitancy as it contains linguistic data.This study proposes a novel two-stage intuitionistic fuzzy RA based on Intuitionistic Fuzzy Analytic Network Process (IF-ANP) and intuitionistic mathematical modeling.In the first stage, by considering the effects between each risk factor (RF) and relations between FMs, importance weights of RFs are computed and the rankings of FMs are obtained with IF-ANP.In the second stage, an intuitionistic mathematical model has been established reflecting the real constraints of the company as cost, safety level and the rankings' weights of FMs obtained from IF-ANP to determine the FMs that must be prevent firstly.Goals of the mathematical model are minimizing the cost and the risk level of the assembly area.Environmental, administrative, cost and risk structure related factors are considered as main RFs to rank nine FMs.
METODE PENALARAN BERBASIS KASUS (CASE BASE REASONING) DALAM PENENTUAN KELAYAKAN SEKOLAH PERAWATAN

Nurse is a job that has many roles in everyday life. Obtained from the ability to become a nurse. In 1980, there was an explosion in the number of registrants at the Ljubljana nursing school, Slovenia. The data is then collected in a data collected data that is a nursery dataset. There are several things related to health conditions, family status, financial conditions and other things that are considered feasible or not to enter the nursing school. A system that can be used for this problem needs to be created. In this study, a system will be made by applying the method of punishment based on cases and classifying domains to increase computational time. Each new case will be calculated the similarity value to the old case using the Bayes naive algorithm. The system built will produce a decision about whether or not the applicant is suitable in nursing school. Of the 100 data tested, 96 data were obtained that produced true values. With a computing time between 0.253 seconds - 0.607 seconds.
The Development Of Bachelors’ Professional Competences By Means Of A Foreign Language

At present, the requirements for professional, general cultural and especially foreign language training of future specialists are constantly increasing; therefore it is necessary to develop scientifically based approaches and methods for teaching.The article discusses the need for the formation of professional competencies of a technical university graduates and methods of their development.Herewith we give a brief description of the basic training manual for professional-oriented teaching of Chemical Engineering Bachelors in a foreign language.This training manual is intended for professional-oriented English language teaching of chemical students.The main purpose of the manual is the development and improvement of reading and translation skills in the specialty in order to obtain information on the basis of mastering general technical and terminological vocabulary, as well as the development of speaking and writing skills.The activity approach used in this training manual is aimed at the formation and development of professional competencies among students of chemical specialties.The variety of texts and their content simulate the conditions of a real information retrieval activity of a future chemical engineer.The work is considered in the structure of information and educational base for the formation and development of professional competencies while teaching students of chemical specialties foreign languages.The paper also analyzes interdisciplinary educational complexes in a given subject area.
HUBUNGAN ANTARA SELBSVERTRAUEN DAN SPRECHFERTIGKEIT BAHASA JERMAN SISWA KELAS XI SMA NEGERI 8 MAKASSAR

Abstract. This research was conducted to obtain data and information about the relationship between Selbsvertrauen and Sprechfertigkeit German Language Class XI students of SMA Negeri 8 Makassar. The variable in this study is Selbsvertrauen and the dependent variable is Sprechfertikgeit. The population in this study were all class XI of SMA Negeri 8 Makassar consisting of 3 classes, the sample in this study were students of class XI MIPA 2 at SMA Negeri 8 Makassar with a total of 35 people. The results of this study obtained the results of speaking skills and questionnaire tests. Based on the results of the study indicate that the R count is greater than the R table (0.796 &lt;0.334). The analysis showed that there was a relation between Selbsvertrauen and Sprechfertigkeit German Language Class XI students at SMA Negeri 8 Makassar.
The Role of Non-State Actors in Strengthening the Developmental Capacity of the State: A Case Study of Cross Rivers State, Nigeria

This study examined the role of Non State Actors (NSAs) in strengthening the developmental capacity of the state, using a case study of Cross River State, Nigeria. Primary and secondary data on selected constituents of NSAs including Non Governmental Organizations (NGOs), Privately Owned Companies, Banks, Private Hospitals and Private Schools were analyzed using tables and charts. The results revealed that activities of NSAs significantly enhance the developmental capacity of Cross River State especially in the areas of provision of public services, knowledge and skill acquisition, infrastructural development and employment generation. Besides other recommendations, it was recommended that NSAs and the government should perform complementary roles in enhancing developmental capacity and that the establishment of more NSAs in the rural areas should be encouraged through the provision of special funding and other incentives for NSAs that have their offices in the rural areas.
Удосконалення моделі керування доступом на основі ролей у приватних хмарних середовищах

Currently, cloud technologies are gaining in popularity. This is due to the rapid development of the Internet and related technologies. Currently, there are several types of clouds - generic, public, private and hybrid, each performing different tasks and meeting different requirements. Usually, organizations prefer to use a private cloud. As multiple organization units can be stored in one cloud, the issue of access control and data security is very important. An analysis and comparison of the most common and well-known modifications of the RBAC model — MT-RBAC, CAACM, GEO-RBAC, SAT-RBAC and ABAC showed that the correctness of the granting access is between 72 % and 96 %, in addition, they are also essential disadvantages such as low configuration flexibility, the need to pre-define the access policy, and when it is modified, the need to modify the product itself. The possibility of improving the RBAC authorization model has been investigated, and an expression-based (conditional) authorization model has been proposed that consists of 9 steps and dynamically determines access to a resource or operation, depending on the current configuration. The flexibility is achieved by using expressions (a set of certain conditions) that can be modified while the application is running. Expressions can be combined with each other, allowing one to form any combination depending on the needs of the enterprise. This makes the security more robust and the authorization process more flexible and open to modification. Each user is assigned a set of parameters and an operation or resource is a set of expressions. During authorization, user data is used as an expression parameter and allows successful access when it met all needs. The testing of the proposed model was conducted in Joyent's private cloud infrastructure, and the obtained results were on average 11% higher than the MT-RBAC model, 7.5% higher than CAACM, 11.5% higher than GEO-RBAC, and 1.5% and 8% higher than the SAT-RBAC and ABAC models respectively, which confirms the high accuracy, reliability and superiority over its competitors. Tabl.: 2. Fig.: 4. Refs: 9 titles.
Designing Smart Student Savings Tools Based on Arduino and Web

In this modern era, everything is done easily, from electronic equipment to electronic transactions is developed increasingly sophisticated. The equipment and sophisticated electronic transactions turned out to have major problems that could result in dissipation, especially students in schools. The purpose of this study is to create and design a smart savings machine tool, where this machine will be controlled via RFID and a sensor with a microcontroller, so that each individual can learn to economize in managing finances. This machine is designed by adding a color sensor for depositing and withdrawing cash with only three nominal banknotes, namely Rp. 10,000, Rp. 5,000 and Rp. 2,000. Furthermore, this device is also able to calculate the financial balance that has been entered. As an input, Arduino Mega 2560 is needed for data processing. Whereas, the color sensor output is used to read the basic colors red, green and blue on the surface of the lower left corner of the rupiah banknotes. This tool works as desired, can read RFID (Radio Frequency Identification) cards that have been determined and the color sensor can respond to colors on a nominal bill of Rp 2,000, Rp.5,000 or Rp. 10,000 and able to detect the time when saving and accumulating the balance. To attract money into the storage area, two DC motors are used. When the TCS230 color sensor detects money, there are several times that the currency is unreadable due to the influence of external light which causes the sensor to be inaccurate in reading the frequency value of the money color.
Translocation-Based Algorithm for Publishing Trajectories with Personalized Privacy Requirements

Up to now, a large amount of trajectory data have been collected by trusted servers because of the wide use of location-based services. One can extract useful information via an analysis of trajectory data. However, the privacy of trajectory bodies risks being inadvertently divulged to others. Therefore, the trajectory data should be properly processed for privacy protection before being released to unknown analysts. This paper proposes a privacy protection scheme for publishing the trajectories with personalized privacy requirements based on the translocation of trajectory points. The algorithm not only enables the published trajectory points to meet the personalized privacy requirements regarding desensitization and anonymity but also preserves the positions of all trajectory points. Our algorithm trades the loss in mobility patterns for the advantage in the similarity of trajectory distance. Related experiments on trajectory data sets with personalized privacy requirements have verified the effectiveness and the efficiency of our algorithm.
An Empirical Analysis of the Elderly’s Participation in Community Education

Population aging is a global trend.In the 1990s, China began to step into an aging society.Education for the aged is one of the components of education for all and is also the last stage of lifelong education.Based on the investigation and analysis of the elderly's participation in community education in HZ City, this paper understands the basic situation of the elderly's participation in community education, and puts forward some suggestions and strategies to better promote the development of community education.
Pengaruh waktu simpan Packed Red Cells (PRC) terhadap perubahan kadar hemoglobin, hematokrit, dan glukosa plasma di RSUP H. Adam Malik, Medan, Indonesia

Background: Someone who approves the PRC must have been transfused no more than 24 hours after the creation of the PRC; some also apply 3 days. But there are also those that apply up to 1 week. PRC is still feasible to be transfused immediately by seeing changes that occur in the value of hemoglobin (Hb), hematocrit (Ht), and plasma needed when storing.Methods: 30 whole blood bags (WB) were taken for this study. The WB is at the request of the doctor for the manufacture of PRC. The blood bag is rotated at a speed of 4,000 RPM for 15 minutes. From the PRC, 3 cc of blood was taken on 1,3,5,7 days for hemoglobin (Hb), hematocrit (Ht), and glucose plasma. Data were analyzed using SPSS version 21 software for Windows.Results: After 1-day taking 3 cc of blood, PRC was stored at 4 Â° C, and then 3cc was taken also on days 3, 5, 7. The results showed that hemoglobin (Hb), hematocrit (Ht) increased from day 1 until day 7 but not significant (P&gt; 0.05), plasma plasma showed a decrease from day 1 to day 7 and significant (P &lt;0.001) but the value was still within normal limits. Correlation value between Hb and PRC retention time; r = 0.127, Ht with the shelf life of PRC, r = 0.160, plasma glucose with the length of time the PRC is stored; r = -0,844.Conclusion: PRC stored for 7 days is still feasible to use. There was a decrease in plasma glucose but still within normal limits.
SCHOOLOGY IN THE EYES OF SAMPOERNA UNIVERSITY STUDENTS

The utilization of technology in postsecondary education is inevitable. The 21st-century education requires college students to actively collaborate with other learners yet engage with technology to create a more attractive and effective learning environment. Schoology is one of the platforms that enable users to create, manage, and share learning materials. Thus, this paper discusses the utilization of Schoology in Sampoerna University, which focuses on identifying (1) the way Schoology supports Sampoerna University students in achieving the learning goals, (2) the features of Learning Management System that bring positive impacts to the students, and (3) the viable improvements in the Schoology's features to boost student performance and stimulate collaboration. The study employs a quantitative method, which gathers the response from direct users to answer the research questions. Based on the results of the survey conducted to Sampoerna University students, Schoology is still a preferable online learning platform. However, Schoology developers should inevitably carry out continuous improvements to provide the optimum learning experience for Sampoerna University students.
Applying Improved Apriori Algorithm in Figuring out the Relation between Weather Factors and Rainfall

Data on the rainfall is compelling to study as it becomes one of the major factors affecting the weather in a certain region and various aspects of life as well. Generally, predicting rainfall is performed by analyzing data in the past in certain methods. Rainfall is prone to follow repeated pattern in sequence of time. The utilization of big data mining is expected to result in any valuable information that used to be unrevealed in the big data store. Some methods used in data mining are Apriori Algorithm and Improved Apriori Algorithm. Improved Apriori itself is to represent the database in the form of matrix to describe its relation in the database. Data used in this research is the rainfall factor in 2016 in Tanjungpinang city. Based on the test of Improved Apriori Algorithm, it was found out that the relation of the rainfall and weather factors utilizing 2 item sets, that is, if the temperature is low (24,0 - 26,0), the humidity is high (85 - 100), then the rainfall is mild. If the temperature is low (24,0 - 26,0), the light intensity is low (0 – 3), then the rainfall is heavy, and 3 item sets if the temperature is low (24,0 - 26,0), the humidity is high (85 - 100), the sun light intensity is low (0-3), then the rainfall is medium.
Survey on Fall Detection System CNN based Fall Detection and Health Monitoring System using IOT

Falls are the common problem faced by elderly population. Fall may happen due to fainting. The reason for faint involves sudden changes in the heart rate. Falls are the common cause of traumatic brain injuries in elderly people and also cause severe injuries such as fracture of the hip. This kind of injuries can create negative impact on their quality of life. In most of the cases the elderly who lay on the floors for more than an hour after falls usually results in serious trauma, also leads to death of the individuals. There are some systems exist for detecting the falls of the elderly people. These ambient sensors involve video-based methods for fall detection using rule based and machine learning based methods. The wearable sensor mainly include accelerometer, gyroscope, barometric pressure sensor, infrared sensor and kinetic RGBD camera. The existing systems are based upon the ambient sensors faces some risks such as storage and processing of video is a complex task and it also affects the privacy of the people. It is necessary to propose a system that can overcome the above drawbacks. The system proposed involves capturing the motion of the elderly people using accelerometer sensors. Those captured data via sensors are processed using CNN, which involve steps such as convolution, it results in feature map then it has to be down sampled using the max pooling methods and based on the resultant layers, the captured motion can be determined whether it is a day to day activities or a fall. Once the fall is detected the information will be sent to the family members and neighbours. Additionally, it is provided with sensor to monitor the health conditions of the elderly people, when heart rate deteriorates, an alert message will be sent to neighbours and family members to provide medical assistance.
Development of Students Worksheet Chemical Bond Based On Learning Cycle 7E

This development research aims to produce worksheet chemical bonds based on Learning Cycle 7E, to know the validity level of the worksheet according to the validators, to know the practicality level of the worksheet according to the teacher, and to know the attractiveness level of the worksheet according to students. The development model follows the plomp model. Plomp consists of the preliminary investigation phase, the design phase, realization or construction phase, the test phase, evaluation and revision, and the implementation phase. Based on the results of product validation by three validators, the results obtained with the category valid from five aspects, namely the feasibility of the content, Learning Cycle 7E characteristics, language, presentation, and graphics with the percentage of 91.67%, 92.71%, 94.44%, 91.66%, and 88.89%. Teachers 'response as worksheet users based on the Learning Cycle 7E category is very practical with a percentage of 88.15%, and students' responses to worksheet based on the Learning Cycle 7E category are very interesting with a percentage of 89.99%.
Improving the courses of educational programs on information security smart grid

Planning and Teaching Engineering Staff for the Industrial and Economic Complex of the Region 2019: Proceedings of 2019 XVIII Russian Scientific and Practical Conference on Planning and Teaching Engineering Staff for the Industrial and Economic Complex of the Region (PTES)
Rancang Bangun OwnCloud Sebagai Cloud Storage di Kampus STMIK PPKIA Tarakanita Rahmawati

Media storage based on cloud computing is now widely used as a solution for exchanging data and information in an institution to support work. At STMIK PPKIA Tarakanita Rahmawati, cloud-based storage is very necessary because many data and information exchange activities are carried out digitally, both data exchange between lecturers, academic community, education staff and students. Utilization of ownCloud as an open source software to solve the problem of cloud computing-based data exchange is very appropriate because the website-based, desktop and mobile-based applications make it easier for users to access data. Owncloud is similar to applications like Google Drive, Dropbox, it's just that all settings and data processing and user can be done independently so that it can adjust to the needs. The results of this research, Owncloud can be used well by lecturers to store data related to lectures and research, students to store lecture data centrally, the academic community in storing data related to academic activities. The design of owncloud is also still done intranet, so to access it must be connected to the network around the campus of STMIK PPKIA Tarakanita Rahmawati
How Review Gathering Software Works and Why Weave Makes a Difference

Recent years have seen the extensive development of online review sites and forums. Customer reviews were once only shared by word-of-mouth or in print, ...
CPAR: Cloud-Assisted Privacy-preserving Image Annotation with Randomized k-d Forest

With the explosive growth in the number of pictures taken by smartphones, organizing and searching pictures has become important tasks.To efficiently fulfill these tasks, the key enabler is annotating images with proper keywords, with which keyword-based searching and organizing become available for images.Currently, smartphones usually synchronize photo albums with cloud storage platforms, and have their images annotated with the help of cloud computing.However, the "offloading-to-cloud" solution may cause privacy breach, since photos from smart photos contain various sensitive information.For privacy protection, existing research made effort to support cloud-based image annotation on encrypted images by utilizing cryptographic primitives.Nevertheless, for each annotation, it requires the cloud to perform linear checking on the large-scale encrypted dataset with high computational cost.This paper proposes a cloud-assisted privacy-preserving image annotation with randomized k-d forest, namely CPAR.With CPAR, users are able to automatically assign keywords to their images by leveraging the power of cloud with privacy protected.CPAR proposes a novel privacy-preserving randomized k-d forest structure, which significantly improves the annotation performance compared with existing research.Thorough analysis is carried out to demonstrate the security of CPAR.Experimental evaluation on the well-known IAPR TC-12 dataset validates the efficiency and effectiveness of CPAR.