Reviewerly/exHarmony huggingface dataset:
Comparative study on load balancing and service broker algorithms in Cloud computing using cloud analyst tool

In recent years, there has been a large increase in the number of cloud users as it provides an easy and flexible way to manage user data and applications. With the emerging technologies such as the Internet of things, cloud computing being the backbone, the load on the cloud servers has increased. The cloud data centers consist of servers hosting multiple virtual machines. One of the main challenges in cloud computing is to efficiently distribute the user service requests to different virtual machines in order to reduce the request processing time and to provide more user satisfaction. Load balancing algorithms basically address two issues: the selection of the data center and the distribution of the load on different virtual machines. Data center selection is handled by service broker policy and distribution of the load on virtual machines handled by VM load balancer. Load balancing techniques play a vital role in minimizing the response time and maximizing throughput and also ensure scalability and reliability. Hence, it has become an important research topic in the field of cloud computing. Cloud-analyst, a java based open source toolkit, is useful to simulate and analyze the load balancing algorithms. In this paper, a comparative study on different service broker policies and VM load balancing algorithms for cloud computing is presented with simulation results. The aim of this comparative study is to find the performance of different service broker policies and the load balancing algorithm tested on different scenarios.
24-bit renkli imge içine 24-bit renkli imge gizleyen yüksek kapasiteli düşük bozulumlu tersinir kayıplı yeni bir veri gizleme yöntemi (YKKG)

In this study, a new high-capacity, low-distortion and reversible data hiding method (YKKG) that hides a 24-bit color image in a 24-bit color image is proposed. The proposed method divides the 24-bit image to be hidden into 4-bit pieces and hides each piece by reducing it to the 2-bit hide code. In this way, since the 4-bit piece is reduced to 2-bit, the method performs lossy concealment. 2-bit hiding codes are hidden in 2-byte blocks. In the undo process, the method obtains 4-bit pieces from the 24-bit image hidden from the 24-bit stego image, using 2-bit hiding codes in 2-byte blocks, respectively, and the parts are merged back into reversible 24-bit image. Since the method reduces the size of the data to be halved, it offers twice the capacity compared to traditional LSB methods. When the same amount of data is hidden, the method creates lower distortion in the cover image than traditional LSB methods. Peak signal to noise ratio (PSNR) and structural similarity quality criterion (SSIM), which are frequently used in the literature, were used to measure the image quality of the proposed method. In addition, salt & pepper, gaussian, speckle and poisson attack attacks were used to measure the resistance of the proposed method to visual attacks. The test results showed that the proposed method achieved twice as efficient capacity and higher PSNR and SSIM values than the traditional LSB method and the studies in the literature.
LibGuides: Test Preparation Materials: SAT Subject Tests

A guide to the test preparation materials available in the OHS Library, Frederick County Public Libraries, and online.
Startup Application System in New Employee Recruitment Using Pieces Method (Performance, Information, Economy, Control, Efficiency, and Service)

The startup application system for recruiting new employees is a web-based information system. Making this startup application system is a tool and makes it easier for job seekers to find job vacancies that are currently needed by a company, both private companies, and state-owned companies. In completing this new employee recruitment startup application system using the PIECES method. PIECES method is a method that uses six evaluation variables, namely Performance, Information / Data, Economic, Control / Security, Efficiency, and Service. This method is used to evaluate the various stages in the delivery of information on job vacancies, company registration, and job seeker registration. The results of the analysis are usually statements that assess their benefits. By using the PIECES method, it is hoped that it can help organizational companies in promoting job vacancies and looking for job candidates as well as making it easier for job seekers to find the latest job vacancies according to their field of expertise.
Web-Based Mentimeter Learning Media in Learning German Writing Skills

This study aims to obtain data and information about the effectiveness of Web-based mentimeter learning media  in learning German writing skills for class X SMA Negeri 1 Makassar. This research is an experimental research using True Experimental design in the form of The Randomized Pretest-Posttest Control Group Design. The sample selection used random sampling technique. The population  consisted of 8 classes with 240 students. The sample  consisted of 2 classes, namely class X IPA 8 as the experimental class and X IPA 4 as the control class. The data was collected through a German writing skill test. Data were analyzed using t-test analysis. The results showed that the German writing skills obtained t-count 2.59> t-table 2.004 at a significant level of 0.05. Thus the Web-based mentimeter learning media  is effectively used in learning to write German
A Study on the Students' Perception of Online Writing Class in College

A Study on the Students' Perception of Online Writing Class in College - online class;video lecture;real time video lecture;writing education of university students;satisfaction of writing class;self-efficacy of writing skills
Explorations of Designing Spatial Classroom Analytics with Virtual Prototyping

Despite the potential of spatial displays for supporting teachers’ classroom orchestration through real-time classroom analytics, the process to design these displays is a challenging and under-explored topic in the learning analytics (LA) community. This paper proposes a mid-fidelity Virtual Prototyping method (VPM), which involves simulating a classroom environment and candidate designs in virtual space to address these challenges. VPM allows for rapid prototyping of spatial features, requires no specialized hardware, and enables teams to conduct remote evaluation sessions. We report observations and findings from an initial exploration with five potential users through a design process utilizing VPM to validate designs for an AR-based spatial display in the context of middle-school orchestration tools. We found that designs created using virtual prototyping sufficiently conveyed a sense of three-dimensionality to address subtle design issues like occlusion and depth perception. We discuss the opportunities and limitations of applying virtual prototyping, particularly its potential to allow for more robust co-design with stakeholders earlier in the design process.
A Survey on Energy-Efficient and Security Algorithms using Edge Computing Architecture for IoT in Cloud based Process Industries

Internet of Things (IoTs) embraces of controlled sensor-based devices and machineries connected with each other and collaborating over the internet. In a distributed IoT environment lot of issues such as Power Consuming, battery backup, storage, running cost and Safety in the system. In this paper, numerous cryptographic algorithms are analyzed based on the size of block & Key and number of iterations. Apart from the above analysis security structure of IoT and challenges faced with result comparisons. Finally, a safe environment system with a facility enhancement for an improved resource guarded IoT environment and open concerns are discussed.
Analysis and Design Of Web-Based Catering Ordering Systems (Case Study: Cafetaria Catering)

Along with the development of technological advancements and high business competition in the field of catering, Catering Cafetaria needs to use a website for promotional facilities to develop its business or as a marketing tool to increase sales. The development of information technology used in the catering world can use webservice for interoperability, with features such as wifi, sms gateway, and the use of mobile applications with android can be a reference for further development. As for the design of the system used UML and the Waterfall method. The ordering process for catering to Catering Cafes is still manual, so it often creates obstacles and is considered less effective and efficient in ordering. A web-based catering service ordering information system is needed to overcome this problem. This ordering system is also considered to be more efficient in utilizing and reducing costs for marketing. The design of this catering-based ordering system is made using PHP and MySQL. The benefits of this research are to help Catering Cafetaria to facilitate expenses, online catering reservations and for computerized business progress.
Deep convolutional neural networks for double compressed AMR audio detection

Detection of double compressed (DC) adaptive multi-rate (AMR) audio recordings is a challenging audio forensic problem and has received great attention in recent years. Here, the authors propose to use convolutional neural networks (CNN) for DC AMR audio detection. The CNN is used as (i) an end-to-end DC AMR audio detection system and (ii) a feature extractor. The end-to-end system receives the audio spectrogram as the input and returns the decision whether the input audio is single compressed (SC) or DC. As a feature extractor in turn, it is used to extract discriminative features and then these features are modelled using support vector machines (SVM) classifier. Our extensive analysis conducted on four different datasets shows the success of the proposed system and provides new findings related to the problem. Firstly, double compression has a considerable impact on the high frequency components of the signal. Secondly, the proposed system yields great performance independent of the recording device or environment. Thirdly, when previously altered files are used in the experiments, 97.41% detection rate is obtained with the CNN system. Finally, the cross-dataset evaluation experiments show that the proposed system is very effective in case of a mismatch between training and test datasets.
PERSEPSI PARA ORANG TUA TERHADAP PEMBELAJARAN DARING: STUDI PADA SEBUAH SEKOLAH DASAR DI DAERAH PINGGIRAN KLATEN

This research is based on the background that online learning is not working effectively because there are some parents who do not have cellphones. Internet signal is also a problem when used in suburban primary schools. The primary school chosen is Public elementary school of Jimbung. The aim is to find out parents' perceptions of online learning. The method of research uses descriptive quantitative survey research. The research subjects used were the parents of fourth grade students because pre-research activities were related to these subjects. Data were collected using a questionnaire instrument with a Likert scale. Data analysis was performed using the Statistical Packages For Social Science (SPSS) program version 20. The result of his research is that parents' perceptions of online learning are determined by attention, experience, barriers, and knowledge. Factors in the category are quite good in terms of factors, namely attention, experience and obstacles. Factors in the good category obtained knowledge factors. The knowledge factor of parents is very supportive of the implementation of online learning. The factors of attention, experience and barriers experienced by parents indicate difficulties in implementing online learning.
Polisiära maktbefogenheter genom en governmentality-lins - En teoriorienterad studie av polisiära maktbefogenheter i en svensk kontext

The Swedish police have the authority and the obligation to maintain public order in the Swedish state. To fulfill this objective the Swedish police have been granted different powers and coercive techniques. The fact that a public authority is given this task is however associated with a number of risks. The law can be misinterpreted, and bias can influence the actions of the individual police officer.In this theory-oriented study, I approach police-powers from a governmentality-perspective. Fundamental to the perspective is that it allows the researcher to consider governance as an ‘activity’ and not a question about ‘who’ governs. By using governmentality, specifically how certain dispositifs are used to control the population, I try to show how the police-powers themselves can affect a population without anyone even using them. Through a reconstruction of two police powers, namely the use-of-force in 10 § Polislagen (Police Act), especially low intensive use of force, and visitation 19 § Polislagen (Police Act). In order to get an overall picture of the powers, the connection to fundamental rights and definitions of legal concepts such as police intervention and coercion are also described. I then use the reconstruction to analyze the law from a governmentality perspective.The results show that the police powers are defined by the fact that they cannot be applied in a preliminary investigation setting, that they are discretionary, and that they have a special connection to police intervention. Use of force is legitimate as long as several principles are abided by and that low intensive force will usually be proportional. What the governmentality-perspective shows are that the regulation is productive as it contributes to the creation and arranging of subjectivities. The dispositif is based on the discursive connections between the police discretionary abilities, legal principles, and the discourse on rights that permeates the regulation. This structure of the dispositif allows for the police to control and organize the population. The legal discourse about police powers creates subjectivities and in the same moment also legitimizes interference and exclusion of these subjectivities.
Advance Website Application Security Issues

As the usage of web applications are increasing day-by-day. Because of easy to develop web applications within weeks and are easily accessible from any part of the world for its users. Every type of business, information sharing, or social networks are on the web now. Such as eCommerce, online banking, social network websites, blogs, online taxi booking, and online education, etc. As the growing number of users or businesses on the web, the attackers are target to attack them. There are too many types of attacks on the web applications but in this paper, few high-risk attacks are considered. Like DDoS (Distributed Denial of Service) attack on the web applications, SQL (Structured Query Language) injection, XSS (Cross-Site Scripting), Cache poisoning, DNS (Domain Name Server) poisoning, HTTP (Hyper Text Transfer Protocol) response splitting, and command injection. How these attacks are performed on the web application defined in details. Due to these attacks user’s privacy and sensitive data leakage. Web applications are also facing the issue of defacing at the organization and state level. Moreover, different tools of vulnerability scanning and protection for attacks will be described such as SQL Inject-Me, Xenotix XSS, SSLyze, XSSer. The controls to protect the web applications from these attacks and will give recommendations for web developers and system administrators. The web applications should be properly sensitized for input fields, developed as per current security standards. Current versions of web servers used modules, frameworks, and tools.
Reflections on Improving the Online Teaching System of Colleges and Universities in China‐‐‐Based on the practice of online teaching in the first half of 2020 of the Business School of BIFT

Online teaching, driven by the epidemic situation of the SARS-CoV-2, has been popularized in a wide range. In the process of carrying out online teaching, it has accumulated a lot of experience and exposed some problems of online teaching. Based on the analysis of advantages and disadvantages of online teaching, this paper puts forward some suggestions on establishing and perfecting mixed teaching system, co-construction of teaching resource platform between school and enterprise, and actively promoting the transformation of teachers' online teaching role.
AE-UPCP: Seeking Potential Membership Users by Audience Expansion Combining User Preference with Consumption Pattern

Many online video websites or platforms provide membership service, such as YouTube, Netflix and iQIYI. Identifying potential membership users and giving timely marketing activities can promote membership conversion and improve website revenue. Audience expansion is a viable way, where existing membership users are treated as seed users, and users similar to seed users are expanded as potential memberships. However, existing methods have limitations in measuring user similarity only according to user preference, and do not take into account consumption pattern which refers to aspects that users focus on when purchasing membership service. So we propose an Audience Expansion method combining User Preference and Consumption Pattern (AE-UPCP) for seeking potential membership users. An autoencoder is designed to extract user personalized preference and CNN is used to learn consumption pattern. We utilize attention mechanism and propose a fusing unit to combine user preference with consumption pattern to calculate user similarity realizing audience expansion of membership users. We conduct extensive study on real datasets demonstrating the advantages of our proposed model.
Approach to intellectualization of complete supply chain management processes using fuzzy expert systems

”. It is shown that in order to increase the efficiency of the functioning of complete logistical supply chains (CLSC), it is necessary to develop special methodological tools, and, on their basis, software to facilitate decision-making on the timely formation of liquid consignments at the terminal sections of the chain of liquid goods. The article describes a fuzzy network of CLSC in the form of a hierarchical two-level nested Petri net (NPN), the upper level of which reproduces the process of functioning of the focal company as the central element of the CLSC, and each of the components of the lower level of the network model is an elementary Petri net reflecting the logistic processes at the terminal sections of the CLSC production of raw materials and sale of finished products. This article also gives a description of the procedure for creating a fuzzy network model for representing information about business processes that take place during the functioning of the CLSC, taking into account the existing time and resource constraints, in the form of a NPN, which is expanded by introducing fuzzy and temporal statements. Special methods of automated decision- making on the sustainable functioning of CLSCs are described and justified in terms of making a choice on the transport mode and optimal routing. Based on the developed methodological tools, the process of forming and providing the stable functioning of the CLSC for typical food products of the grocery group, namely dried fruits, is considered.
Recent Healthcare Information Breaches and their Lessons

IMPORTANCE: Modern health facilities are continually reporting data breaches, which raises the need to understand underlying factors and design mitigation strategies accordingly.  OBJECTIVE: The objective of this research is to analyze real healthcare data breaches, identify underlying factors, and report the lessons that may help in preventing the future breaches.DESIGN: This study is based on exploratory analysis of electronic health record breaches reported to the U.S. Department of Health and Human Services, Office for Civil Rights during the past twenty-four months (December 2018 - December 2020).DATA SOURCES: This study uses the data of breaches reported within the last twenty-four months, and currently under investigation by the Office for Civil Rights and provided, obtained from the breach portal of the U.S. Department of Health and Human Services, Office for Civil Rights. These breaches affected more than 42 million individuals.METHODS: We analyze 698 breach cases affecting more than 42 million individuals to identify underlying attack patterns, trends, outliers, and unexpected results, and major factors leading to these breaches in recently reported electronic health record breach cases. RESULTS: The frequency of data breaches reported during the past twenty-four months shows an increasing trend; their overall impact size is consistent, with a few exceptions. The most significant data breaches involved business associates, healthcare providers, health plans, and healthcare clearinghouses, with healthcare providers and business associates impacting about 83% of the affected individuals' privacy. However, most breaches occurred at smaller entities. Hacking of emails and network servers are the most common breach types, followed by unauthorized access, theft, improper disposal of records and devices, and loss. CONCLUSION: The nature and size of the incidents suggest paying particular attention to human factors, small-sized healthcare entities, business associates, and continuous revision of related security standards and frameworks.
Produksi dan Pemasaran Minuman Infused Water 7216 di Usaha Kecil dan Menengah Classyfood

SALSABILLA SYIFA SHAFIRA. Production and Marketing of 7216 Infused Water at Classyfood Usaha Kecil dan Menengah. Guided by RINA MARTINI and FIRMAN M.BASARProduction is the activity of transforming the condition of raw or undercooked foodstuffs into ready-to-consume food (Wani et al. 2019). Food production aims to produce the right amount of food for large consumers. Supporting the production process required a kitchen to process food and drinks products. Classyfood Kitchen is a kitchen with simple facilities because of Classyfood is categorized medium scale of production or small and medium businesses (SMEs). The kitchen used is a domestic kitchen that used as a place for the production of infused water products.Infused water is water that given a few pieces of fruit, vegetables, and herbal that freshwater will have a distinctive aroma, taste, and color according to the ingredients that are dissolved (infused) in the water. Infused water may also be alkaline water since the fruit juice fused with the water (Hindah, 2014). This beverage could be an alternative for consumption if it bored drinking water because of its plain taste. Moreover, infused water also enables to increase the intake of nutrients, alkaline fluids, fiber, enzymes, and polyphenols.The general objective of the final assignment is to study the production of Infused Water in a la carte menu at Classyfood. There are four specific objectives in this final assignment, (1) To learn the general state of Classyfood Kitchen. (2) To identify preparations for infused water beverage production at Classyfood Kitchen. (3) To identify the process of portioning and packaging of infused water in Classyfood Kitchen. (4) To learn the marketing methods of infused water in ClassyfoodObservations and data retrieval is conducted during fieldwork practices from February 26, to May 19, 2020, in Classyfood Kitchen. The data retrieval method used was the primary and secondary data collection.Classyfood Kitchen is a production kitchen for small and medium businesses (SMEs) as of that the kitchen used is a simple domestic kitchen with limited facilities. The production kitchen is in the home of the Classyfood owner that functions as a production house. Classyfood Kitchen has the responsibility to produce any Classyfood product, which is the a la carte menu. Classyfood Kitchen produces infused water as a healthy drink to consume.