Reviewerly/exHarmony huggingface dataset:
Performance Investigation of Features Extraction and Classification Approaches for Sentiment Analysis Systems

Data pre-processing and feature extraction of micro-blogging data in sentiment analysis systems becomes an effective field of analysis. Object identification, negation expressions, sarcasm, outlines, misspellings are the major issues faced during sentiment analysis. So, data pre-processing in a sentiment analysis system is a conclusive step to improve data quality, raise the extraction, and classification of meaningful data. This paper presents a sentiment analysis system for performance investigation. Several pre-processing and feature extraction techniques are applied to optimize the sentiment analysis. Our system comprises three different components: data pre-processing, feature extraction, and sentiment analysis. The pre-processing and feature extraction approaches enhance the sentiment analysis system performance. We compare between different sentiment analysis approaches using a dataset of US Airlines from Twitter. Results show achieving high performance when using the Word2Vec approach with XGBoost and random forest classification algorithms. Also, the results show the classification technique, Naive Bayes is the lowest performance.
Digital university as an integrative methodological construct

The coronavirus pandemic has actualized the digital transition of universities. At the same time, it introduced an element of chaos. Educational policy also played a role here. At this stage, there is a contradiction that has arisen between the fragmentation of interpretations and the need to develop a digital university model. This determines the need for structuring the methodological construct of a digital university, which will allow developing not only a theoretical methodology that allows more focused theoretical and applied research, but also a practical methodology that makes it possible to more rationally structure a set of techniques and tools to achieve the goal of practical implementation of the digital transformation of universities and higher education. The author of the article formulated the methodological construct of a digital university as an integrative phenomenon. A digital university is a combination of four interdependent elements: a teaching format; digital environment; digital resources; digital platform. The digital format is a form of combining digital technologies (in what form the interaction takes place) and at the same time content (which is an act of interaction, the content itself). The digital environment is a space, a place (where interaction takes place). Digital resources are tools for activating the idea of a digital university (what the participants use). A digital platform is an algorithm, a way to implement the idea of a digital university (how interaction is embodied) and, at the same time, a platform for interaction (within which structure the interaction takes place). The article shows that a digital university cannot be interpreted solely as a twin of a "physical" university, since digital technologies allow creating new conditions, making changes in the real environment, organizing processes, both teaching and management. At the same time, the "physical" university, existing in the real, not the virtual world, is a whole space in which technical and human resources are placed. In other words, it is impossible to talk about the concept of a digital university only from the standpoint of the digital (virtual) world, or from the standpoint of only the technical infrastructure.
Vision-Based Two-Factor Authentication &amp; Localization Scheme for Autonomous Vehicles

In autonomous vehicle systems -whether ground or aerial -vehicles and infrastructure-level units communicate among each other continually to ensure safe and efficient autonomous operations.However, different attack scenarios might arise in such environments when a device in the network cannot physically pinpoint the actual transmitter of a certain message.For example, a compromised or a malicious vehicle could send a message with a fabricated location to appear as if it is in the location of another legitimate vehicle, or fabricate multiple messages with fake identities to alter the behavior of other vehicles/infrastructure units and cause traffic congestion or accidents.In this paper, we propose a Vision-Based Two-Factor Authentication and Localization Scheme for Autonomous Vehicles.The scheme leverages the vehicles' light sources and cameras to establish an "Optical Camera Communication (OCC)" channel providing an auxiliary channel between vehicles to visually authenticate and localize the transmitter of messages that are sent over Radio Frequency (RF) channels.Additionally, we identify possible attacks against the proposed scheme as well as mitigation strategies.
MULTIPLE OBJECT DETECTION IN SURVEILLANCE VIDEO WITH DOMAIN ADAPTIVE INCREMENTAL FAST RCNN ALGORITHM

Object detection is one of the key steps in wide variety of surveillance-based applications.This paper introduces an incremental class based Fast RCNN multiple object detection method that can be apply in various domain of surveillance video analytics.The two major components of proposed method are class incremental learning component and domain adaptation component.Class incremental learning helps for incremental adding of object classes with existing object classes for Fast RCNN.Domain adaptation component part improves the detection even the object presents in cross domain.Here basic object classes can be trained initially and then can add new object class incrementally according to new class requirement or according to domain.Benchmark datasets COCO, PETS S2L1, CD2014, Visor dataset were used for training and testing.Experimental results were showed that the proposed approach performs better in video datasets that contains challenges such as illumination variation, presence of shadow, partial occlusion and dynamic background.
Summarization of Commercial Contracts

In this paper, we propose a novel system for providing summaries for commercial contracts such as Non- Disclosure Agreements (NDAs), employment agreements, etc. to enable those reviewing the contract to spend less time on such reviews and improve understanding as well. Since it is observed that a majority of such commercial documents are paragraphed and contain headings/topics followed by their respective content along with their context, we extract those topics and summarize them as per the user’s need. In this paper, we propose that summarizing such paragraphs/topics as per requirements is a more viable approach than summarizing the whole document. We use extractive summarization approaches for this task and compare their performance with human-written summaries. We conclude that the results of extractive techniques are satisfactory and could be improved with a large corpus of data and supervised abstractive summarization methods.
Security index based on perfectly undetectable attacks: Graph-theoretic conditions- Supplementary Material

Security index based on perfectly undetectable attacks: Graph-theoretic conditions- Supplementary Material
FO-Sketch: A Fast Oblivious Sketch for Secure Network Measurement Service in the Cloud

Network measurements are the foundation for network applications. The metrics generated by those measurements help applications improve their performance of the monitored network and harden their security. As severe network attacks using leaked information from a public cloud exist, it raises privacy and security concerns if directly deployed in network measurement services in a third-party public cloud infrastructure. Recent studies, most notably OblivSketch, demonstrated the feasibility of alleviating those concerns by using trusted hardware and Oblivious RAM (ORAM). As their performance is not good enough, and there are certain limitations, they are not suitable for broad deployment. In this paper, we propose FO-Sketch, a more efficient and general network measurement service that meets the most stringent security requirements, especially for a large-scale network with heavy traffic volume and burst traffic. Let a mergeable sketch update the local flow statistics in each local switch; FO-Sketch merges (in an Intel SGX-created enclave) these sketches obliviously to form a global “one big sketch” in the cloud. With the help of Oblivious Shuffle, Divide and Conquer, and SIMD speedup, we optimize all of the critical routines in our FO-Sketch to make it 17.3x faster than a trivial oblivious solution. While keeping the same level of accuracy and packet processing throughput as non-oblivious Elastic Sketch, our FO-Sketch needs only ∼4.5 MB enclave memory space in total to record metrics and for PORAM to store the global sketch in the cloud. Extensive experiments demonstrate that, for the recommended setting, it takes only ∼ 0.6 s in total to rebuild those data during each measurement interval.
Sistem Informasi Pendataan Potensi Pertanian Kabupaten Kepulauan Talaud Berbasis Web

Economic development in the agricultural sector is intended to increase farmers' income and to equalize development in rural areas. The agricultural potential data collection information system is carried out to find out the various advantages or privileges that exist in the Talaud Islands Regency. One of the government agencies that carry out this activity is the Department of Food Security and Agriculture of the Talaud Islands Regency. This is the benchmark of this discussion and research. The author's team conducted research at the Department of Food Security and Agriculture of the Talaud Islands Regency by collecting data in the field, the authors used questionnaires and interviews. Interviews were conducted with the head of the plantation sector and one staff member of the plantation sector. Based on the results of research in the field and adapted to the needs of potential data by information users, the authors designed an application of information systems for data collection of agricultural potential in Talaud Islands Regency based on a website This system is made to facilitate potential data collection, access and quick information. Stakeholders in collecting data on agricultural potential in the Talaud Islands Regency can access potential data online without having to deal directly with agricultural potential managers
Using K-Means Algorithm to Investigate Community Behavior in Treating Waste toward Smart City

Urban communities' behavior in disposing and managing waste around the house is still very concerning.This study aims to analyze and classify community behavior patterns related to waste disposal to help the Makassar City Government overcome waste problems.The methods and techniques applied are using the Waterfall model and the K-Means Algorithm.The stages of analysis and classification of behavior patterns can assist city governments in making strategic decisions.The variables determined include education, age, occupation, free time, smoking status, and questionnaire (outreach, law, knowledge, and facilities).The K-Means algorithm calculation results are 39 people in cluster 1 and 10 people in cluster 2. In cluster 1, it is known that the community tends to take care of the environment in the sub-district where the community lives.Cluster 2 has a low average yield, such as people who do not know the impact laws, inadequate sanitation facilities, and lack of proper waste management towards smart city governance.Based on testing for each method, the Cyclomatic Complexity value generated is four.Therefore, it can be concluded that the white box testing on the K-Means algorithm runs well because each test produces the same value.The government and the community have a responsibility to carry out waste management properly, make use of goods and refill facilities, know the legal impact of littering and follow the socialization held by the Makassar City Government.
Relativsätze im Deutschen und im Italienischen

This contribution focuses on relative constructions in German and Italian. After sketching the theoretical background, the relativization strategies attested in standard and non-standard varieties of both languages will be presented and analysed from a typological perspective. Then, an attempt will be made to understand why some of these constructions were excluded from the standard variety when both languages were codified; this can only be done by adopting a sociolinguistic perspective. Finally, the rise of a new standard variety, the so-called neo-standard, will be discussed and the relative constructions attested in it will be examined.
Dynamic Facial Expression Recognition Using Sparse Reserved Projection Algorithm for Low Illumination Images

In this paper, a novel approach for facial expression recognition based on sparse retained projection is proposed. The locality preserving projection (LPP) algorithm is used to reduce the dimension of face image data that ensures the local near-neighbor relationship of face images. The sparse representation method is used to solve the partial occlusion of human face and the problem of light imbalance. Through sparse reconstruction, the sparse reconstruction information of expression is retained as well as the local neighborhood information of expression, which can extract more effective and judgmental internal features from the original expression data, and the obtained projection is relatively stable. The recognition results based on CK + expression database show that this method can effectively improve the facial expression recognition rate.
Current Advances in Information Quantum Technologies – Critical Issues

This article reviews chosen topics related to the development of Information Quantum Technologies in the major areas of measurements, communications, and computing. These fields start to build their ecosystems which in the future will probably coalesce into a homogeneous quantum information layer consisting of such interconnected components as quantum internet, full size quantum computers with efficient error corrections and ultrasensitive quantum metrology nodes stationary and mobile. Today, however, the skepticism expressing many doubts about the realizability of this optimistic view fights with a cheap optimism pouring out of some popular press releases. Where is the truth? Financing of the IQT by key players in research, development and markets substantially strengthens the optimistic side. Keeping the bright side with some reservations, we concentrate on showing the FAST pace of IQT developments in such areas as biological sciences, quantum evolutionary computations, quantum internet and some of its components.
Applying usability recommendations when developing mobile instant messaging applications

Mobile Instant Messaging applications noted a growing number of active users recently. Although having millions of users, the previous research results have shown usability flaws in this type of mobile applications. Difficulties when performing tasks, poor design of user interfaces, or lack of information about privacy and security methods were some of the identified flaws. Consequently, a collection of usability recommendations was proposed. The goal of these recommendations is to improve the experience in the use of these mobile applications and, thus, enhancing the usability of this kind of apps. These recommendations were taken into account during the development process of a new instant messaging application. Thus, in this study, the authors present the resulting application, its characteristics, how usability recommendations were covered through design and development phases, and a preliminary usability evaluation performed by conducting two research methods: KLM and Mobile Heuristic Evaluation. Both methods ranked the prototype at top positions (i.e. good usability results) when compared with the results obtained in previous studies about other existing instant messaging applications.
THE INFLUENCE OF THE UTILIZATION OF DIGITAL LIBRARY ON THE MOTIVATION AND ACCOUNTING LEARNING OUTCOMES OF VOCATIONAL SMK LABOR BINAAN FKIP UNRI PEKANBARU

This study aims to determine: (1) Is there an effect of the use of the school's digital library on the learning motivation of the FKIP UNRI FKIP-assisted SMK students 'accounting skills program, (2) Is there an effect of the use of the school's digital library on the learning outcomes of the FKIP-assisted SMK students' accounting skills program. UNRI, (3) Is there an effect of the use of digital libraries and learning motivation on the learning outcomes of the accounting skills program of FKIP UNRI Fostered Vocational School students.This research method uses descriptive quantitative research. The population in this study were students of class X Accounting 2 at Vocational High School of FKIP, Riau University Pekanbaru, by taking a sample of the entire population as many as 26 students. Collecting data using questionnaires and documentation, data analysis using descriptive analysis and regression analysis.The results of the study state that: (1) The use of digital libraries partially affects the motivation to learn business economics in class 10 accounting students at SMK Labor Assisted by FKIP UNRI Pekanbaru. Where the motivation to learn business economics is influenced by the use of digital libraries of 91.9%. (2) The use of digital libraries partially has no effect on the learning outcomes of business economics for class 10 accounting students at SMK Labor Assisted by FKIP UNRI Pekanbaru. Where learning outcomes are influenced by the use of digital libraries by 10%. (3) The simultaneous use of digital libraries has an effect on learning motivation, while the simultaneous use of digital libraries has no effect on the learning outcomes of business economy class X Accounting 2 at SMK Labor Assisted by FKIP UNRI Pekanbaru.
Security Implications for Json web Token Used in MERN Stack for Developing E Commerce Web Application

In almost every organization where user sensitive data is available, security and privacy of the data plays a vital role. As storage of these information is overhead in database, Tokens are generated which handles sessions and also self contains user details. One of such widely used stateless token is Json Web Token. This paper deals with the research that follows implementation of authentication and authorization technique using JSON web token which will make web service a role based one .In the project under taken, Json web token is generated in a more secured way by choosing the secret key for web token wisely. Usually key for the token was a mere string or the set of keys stored in a key ring in the database and used alternately for the users to create the token. Or one more trial model is created where captcha was used in short a random number was generated and used as secret key for token generation but the main issue was increased storage. Thus storage is tried to reduce also less predictive secret key is generated in this project.
SecureVision: An Open-Source User-Customizable Image Encryption Program

Data security has become indispensable, with a view to keep sensitive information confidential. One important method is through image encryption, upon which features in an image would no longer be visible. The original image with its features could only be restored upon decryption using a set of keys. There are prestigious works in the literature regarding image encryption. However, there is a lack of easy-to-use, GUI-based, user-customizable computer programs for image encryption. In the present work, we developed a GUI-based image encryption and decryption program with server file transfer support, namely, SecureVision. A custom-made random number generator using the equation of an ellipse was developed to randomly shuffle the pixel positions. SecureVision was found to be robust, user-friendly and fast in both encryption and decryption. The program was highly sensitive to the supplied keys, which prevented brute-force attacks. SecureVision provided full user control, where users could modify the program modules to match their desired applications, which was particularly desirable for pedagogical purposes in that interested parties had the freedom to explore the concept of image encryption and decryption. SecureVision is distributed under a GPLv3 license, which would allow everyone to use, modify and distribute the program without any restriction.
Methodology Of Group Work Of International Students On Drafting A Scientific Article

The present article describes the experiment conducted at the faculty of humanities in the academic years 2018-2019 and 2019-2020 at the Peoples' Friendship University of Russia (RUDN University).The objective of the experiment was to create a new methodology for the senior students' work group to acquire the writing skills in a second (Russian) language to be able to compose a scientific article.For the classes of Russian as a second language, a composite approach is the best fitting as it efficiently combines practicing the grammar rules, anchoring the synopsis, papers and essays writing skills and learning practical tips on how to apply these skills and overcome the psychological problems when creating an original scientific text and preparing it for publishing.The article lists the main problems that arose in the process of work and the ways of solving them, as well as the technical resources that helped organize this work in the most efficient way.The article also outlines the directions of the future improvement of the methodology.
Pengaruh Point Vuforia Object Scanner Terhadap Karakteristik 3D Object untuk Menampilkan Informasi Berbasis Augmented Reality

Augmented Reality (AR) applications are one of the current mobile app trends. Its ability to display information as if to make the user merge with the information provided. The specialty of the application is in the marker. One marker that is in great demand is known as markerless, such as 3D Object Tracking. In making this 3D Object-based AR application, one must pass a stage where a real object is taken at points or known as points to be used as markers. The application used at this stage of making markers is known as the vuforia object scanner. From the experience of making AR applications, it was found conditions where markers with a large number of points were not able to display information properly, a small number of points were able to display information well and sometimes the two conditions were opposite or comparable, i.e. a lot of points makes a good marker and a few points make a bad marker. This inconsistent condition becomes a problem in this study. The test results show that the points do not affect the marker's ability to display information, but are influenced by the characteristics of the object used as the marker. Tests conducted on randomly selected objects resulted in 2 parameters to be tested in this study, namely the texture and pattern of the object. Markers with good quality to be used as markers for 3D objects are markers with a hard texture, with a detection angle of 90° and 135° and with a regular pattern