Reviewerly/exHarmony huggingface dataset:
Implementation of an efficient web-based movie ticket purchasing system in the context of Bangladesh

&lt;span&gt;The ‘Movie Ticket Purchase System’ is a web-based application. In this application, people can purchase movie tickets from all movie theatres in Bangladesh. Before purchasing a ticket, people have to do registration or login. This website builds by PHP and JavaScript for back-end; HTML, CSS for front-end. All steps of the software development life cycle are addressed properly to develop and implement the software. This website has three panels: one for the Admin, one for the Theatre Assistant and another for the Customer/User. Admin can insert the theatres, and Theatre Assistant handled maximum manual works on the website like movie add, delete, stop running, screen adds, etc. This is the first website in Bangladesh where people can purchase tickets from multiple movie halls and the site is only dedicated to this purpose. The website is very user-friendly and attractive that can give comfort to the end users. Also, the theater owners that have no digital platform for selling tickets can be a member of our service and get the opportunity of using digital platform.&lt;/span&gt;
Object Detection Using Convolutional Neural Networks for Natural Disaster Recovery

Natural disasters cause a great damage to human life.As these disasters occur naturally, no one can able to stop their occurrences.But for recovery there is a team named Disaster management or emergency management which helps in recovery of human loss.As recovering and analyzing the objects is not easy, it will be a tough challenge for Disaster management team to identify and process large amount of data in real-time.To make this simple and easy Convolutional Neural Networks (CNN) models are used for object detection of disaster's aftermath.As there are various types of natural disasters such as hurricanes, tsunamis, floods, earthquakes etc., this study focuses on floods and earthquake images for object detection by using neural networks which has the ability to recognize objects easily.The network is processed on the DISASTER dataset which contains 2423 images out of which 1073 images belong to Flood and 1350 images belong to Earthquake.In this study ResNet50, VGG-16 and VGG-19 pre-trained models are used.These pretrained models are CNN models which have been already trained on some sort of data.By using pre-trained models it will be more easy for object detection of flood and earthquake images.Among the three pre-trained models VGG-19 gets highest accuracy of 94.22%.As this study focused on floods and earthquake images for object detection.In future, by using different dataset and different images object detection will be done which will be helpful for recovery of human loss.
Mobile Assisted Language Learning in Learning Arabic as a Second Language in Saudi Arabia

This paper reports the results of an investigation into the use of mobile assisted language learning for learning Arabic as a second language in the context of Saudi Arabian higher education.The purpose of this study was to explore what kinds of mobile learning devices second language Arabic learners and their teachers currently use and how they use these devices for learning the Arabic language.This mixed-methods study employed a sequential explanatory design, incorporating questionnaires and semi-structured interviews with second language students and their teachers.A total of 154 teachers and 492 students participated in the quantitative phase of the study whilst 14 teachers and 16 students took part in the qualitative phase.The results showed that smartphones the most widely used mobile device among second language Arabic learners and their teachers.Their current use of mobile devices was focused on social media apps such as YouTube and WhatsApp to support Arabic language learning.
Smartphone Controlled Multipurpose Robot Car

The aim of this project is to develop a prototype of a smartphone-controlled robot car that performs a various function in order to provide a very powerful and versatile robot while also reducing the hardware usage as much as possible.In this project, Arduino UNO is used as a central component, to which all the other components are interfaced.The designed vehicle is controlled wirelessly through a smartphone with the help of a Wi-Fi module.On detecting an obstacle, a notification is sent to the smartphone and the robot performs pick and place operation with the help of a robotic arm mounted onto the vehicle.A combination of Temperature sensor, Gas sensor and Fire sensors are used to provide explosion sensing and detection and a buzzer goes on with the detection of explosion prone region.Further, a live surveillance is provided to monitor every movement of the vehicle.
RAFM: A Real-time Auto Detecting and Fingerprinting Method for IoT devices

Abstract In recent years, with the rapid development of Internet of Things (IoT) technology, a large number of Internet of things devices such as network printers, webcams and routers have emerged in the cyberspace. However, the situation of network security is increasingly serious. Large-scale network attacks launched by terminal devices connected to the Internet occur frequently, causing a series of adverse effects such as information leakage and property loss to people. The establishment of a set of fingerprint generation system for Internet of things devices to accurately identify the device type is of great significance for the unified security control of the Internet of things. We proposed a RAFM which is a detection and identification system of IoT. RAFM consists two major module including auto detection and fingerprinting. RAFM collects messages sent by different Internet of things devices by means of passive listening. Based on the differences in the header fields of different devices, it USES a series of multi-class classification algorithms to identify device types. Simulation experiments show that RAFM can achieve an average prediction accuracy of 93.75%.
The impact of extrinsic job satisfaction factors on the organizational commitment of accounting professionals in Tunisia

The present work aims to emphasize the impact of extrinsic job satisfaction factors on the organizational commitment of accounting professionals in Tunisia.Our methodology is applied to 140 accounting professionals.The results show that the extrinsic factors of job satisfaction, such as the company policy, relationship with peers, relationship with supervisor, and working conditions, have a positive and significant effect on organizational commitment.However, the salary and job safety have a positive and significant effect on continuance commitment, but they do not have insignificant effect on the affective and normative commitments.
Relating Multi-Adjoint Normal Logic Programs to Core Fuzzy Answer Set Programs from a Semantical Approach

This paper relates two interesting paradigms in fuzzy logic programming from a semantical approach: core fuzzy answer set programming and multi-adjoint normal logic programming. Specifically, it is shown how core fuzzy answer set programs can be translated into multi-adjoint normal logic programs and vice versa, preserving the semantics of the starting program. This translation allows us to combine the expressiveness of multi-adjoint normal logic programming with the compactness and simplicity of the core fuzzy answer set programming language. As a consequence, theoretical properties and results which relate the answer sets to the stable models of the respective logic programming frameworks are obtained. Among others, this study enables the application of the existence theorem of stable models developed for multi-adjoint normal logic programs to ensure the existence of answer sets in core fuzzy answer set programs.
A Processing Platform Relating Data and Tools for Romanian Language

This paper presents RELATE (http://relate.racai.ro), a high-performance natural language platform designed for Romanian language. It is meant both for demonstration of available services, from text-span annotations to syntactic dependency trees as well as playing or automatically synthesizing Romanian words, and for the development of new annotated corpora. It also incorporates the search engines for the large COROLA reference corpus of contemporary Romanian and the Romanian wordnet. It integrates multiple text and speech processing modules and exposes their functionality through a web interface designed for the linguist researcher. It makes use of a scheduler-runner architecture, allowing processing to be distributed across multiple computing nodes. A series of input/output converters allows large corpora to be loaded, processed and exported according to user preferences.
Personalized Allocation of English Teaching Resources through Weight Calculation Based on Term Frequency-Inverse Document Frequency

Yuxin Tian (1988.2) Female, was born in Shaanxi Xi'an. She graduated from New York University, M.A. in TESOL. Now, she works at School of International Education, Northwest University. Her main research interests include Second Language Acquisition, Second Language Teaching and Technology, Intercultural Communication. During work, she leads the Social Science Research Project funded by the Shaanxi Education Department and was a key participant of the Social Science Project funded by the Shaanxi Academy of Social Sciences.
Games, AI and Systems

In recent years, we have observed impressive advancements at the intersection of games and artificial intelligence. Often these developments are described in terms of technological progress, while public discourses on their cultural, social and political impact are largely decoupled. I present an alternative rhetoric by speculating about the emergence of AI within social systems. In a radical departure from the dominant discourse, I describe seven roles - Mechanic, Alter/Ego, Observer, Protector, Player, Creator and God - that an AI may assume in the environment of videogames. I reflect on the ramifications of these roles for the idea of an artificial general intelligence (AGI), mainly hoping to irritate the prevailing discussion.
On Vehicular Security for RKE and Cryptographic Algorithms: A Survey

Lately, automobile security was similar to theft prevention, but the software tech within the automobile growing exponentially, to understand visions of the connected car, security is now becoming a key factor for safety.And safety is undoubtedly the primary concern of each vehicle manufacturer.Reading about experiments which depicted vehicles being remotely hacked via connected telematics unit, we determine the execution of malicious code that allows the attacker to have control on the vehicle.As the vehicles are been integrated with more and more electronics and electrical devices, they are at risk of various cyber attacks.To cooperate with each other, these electronic devices require a communication channel, which can be wired or wireless.In terms of wireless devices, the most common systems prone to attacks are Remote Keyless Entry (RKE) and Passive Remote Keyless Entry (PRKE) systems.These days, almost every car has RKE used for unlocking/locking the car doors.However, there are several threats to wireless communication channels.Therefore, vehicle manufacturers need to attend security issues and give them a maximum amount of priority.This paper describes RKE, PRKE systems, attacks and threats related to communication channels and study of various symmetric cryptographic algorithms which can be used in the countermeasure of the threats.
Efficient Signatures on Randomizable Ciphertexts

Randomizable encryption lets anyone randomize a ciphertext so it is distributed like a fresh encryption of the same plaintext. Signatures on randomizable ciphertexts (SoRC), introduced by Blazy et al. (PKC’11), let one adapt a signature on a ciphertext to a randomization of the latter. Since signatures can only be adapted to ciphertexts that encrypt the same message as the signed ciphertext, signatures obliviously authenticate plaintexts. SoRC have been used as a building block in e-voting, blind signatures and (delegatable) anonymous credentials. We observe that SoRC can be seen as signatures on equivalence classes (JoC’19), another primitive with many applications to anonymous authentication, and that SoRC provide better anonymity guarantees. We first strengthen the unforgeability notion for SoRC and then give a scheme that provably achieves it in the generic group model. Signatures in our scheme consist of 4 bilinear-group elements, which is considerably more efficient than prior schemes.
A chaos-based medical image encryption method

&lt;span lang="EN-US"&gt;The information in the e-health system involves the patient’s privacy which is extremely sensitive. For instance, these information record social security numbers and detailed medical history. When the breach happens, there are illegal, or disclosure behaviors taken to privacy that should be compromised security. In this paper, the medical digital images are protected by the proposed chaos-based encryption method in the process of transmission and utilization. Then the authentication is granted to patients and telemedicine staffs by the decryption method proposed. The Qi 3-D four wing chaotic system is employed in this method. The proposed method promises the keys with higher complexity and unpredictability than traditional cryptography methods by introducing the chaotic dynamics in the new cryptography. Digital medical images are used to validate the proposed method under the brute and the differential attacks. The pixels of the image are scrambled completely based on cat map and the sub-blocks of the image are diffused in the way that the original image is changed into a chaotic image robust to all kinds of attacks. The experiments show that the proposed method has higher performance and higher computation for decryption.&lt;/span&gt;
Improving Risk Management in a Scaled Agile Environment

Agile methods are designed for handling uncertainty as well as reducing risks in product development through transparency, inspection, and adaptation. Applying an effective risk management is in the nature of agile methods. However, when multiple agile teams work on the same product, a higher coordination effort is required and more formal practices are applied. The objective of this paper is to study how risk management can be improved in a scaled agile environment. Therefore, we conducted a case study in a large-sized ecommerce company and interviewed several project managers. The results show that there are differences for risk management in terms of two contexts. On the one hand, informal risk management is rated as good enough for one autonomous team. On the other hand, more formal approaches are needed, when several teams work on the same requirement. Furthermore, a tool for the support of risk management in a scaled agile environment is presented. We can conclude that hybrid development approaches consisting of agile practices and traditional practices, are beneficial, when several teams work in parallel.
Prototype of Robotic Device for Mobility Assistance for the Elderly in Urban Environments

This study aims to develop a prototype of an autonomous robotic device to assist the locomotion of the elderly in urban environments. Among the achievements presented are the control techniques used for autonomous navigation and the software tools and hardware applied in the prototype. This is an extension of a previous work, in which part of the navigation algorithm was developed and validated in a simulated environment. In this extension, the real prototype is controlled by an algorithm based on fuzzy logic to obtain standalone and more-natural navigation for the user of the device. The robotic device is intended to guide an elderly person in an urban environment autonomously, although it also has a manual navigation mode. Therefore, the device should be able to navigate smoothly without sudden manoeuvres and should respect the locomotion time of the user. Furthermore, because of the proposed environment, the device should be able to navigate in an unknown and unstructured environment. The results reveal that this prototype achieves the proposed objective, demonstrating adequate behaviour for navigation in an unknown environment and fundamental safety characteristics to assist the elderly.
Lexical Cohesion Roles In Speech Rhetorical Strategy of 2016 U.S Presidential Debate, Trump Vs Clinton

This research aims at describing the speech text cohesion and its contribution to the rhetorical strategy used in the 2016 U.S Presidential debate between Trump and Clinton in their first campaign debate on the political topic area on achieving prosperity, America's direction, and securing America. As an effort to reach the purpose of research, the researcher applies qualitative descriptive method on Discourse Analysis (D.A.) as the theory to describe and analyze the lexical cohesion relation and rhetorical devices linguistically used in the discourse of presidential debate. Furthermore, based on the analysis, the data were found around 399 lexical cohesion devices of reiteration and 64 collocations used by Clinton, and as many as 576 lexical cohesion devices for reiteration and 58 markers of collocation relations were applied by Trump in the debate over U.S presidential debates. Repetition is the most dominant type of lexical cohesion at U.S presidential debate, both realized by Clinton and Trump. The repetition achieved by both debate partners was 39.74% and 63.25%. Some of the lexical relation roles used by the two pairs of candidates based on the topics discussed reveal some differences in their political objectives, namely, economic and industrial issues, law, trade, investment, labor, taxes, and terrorism. Meanwhile, the rhetorical tools used by the two candidate pairs include; metaphor, a list of three, parallelism, and contrastive pairs (antithesis). In addition, the debate rhetoric technique used by both candidates includes; anaphora, epiphora, and climax.
Computer vision and data storage in UAVs

Unmanned aerial vehicles (UAVs) handle operations such as inspection, mapping, monitoring, and surveying, to cite a few, that assist image processing, aerial imaging, and computer vision (CV) algorithms. The UAVs with cameras collect a massive amount of images and videos for various research and commercial applications. Furthermore, UAVs have various sensors, e.g., thermal, magnetic, sound, light, and speed, to collect environment details for specific research as well as commercial usages. Thus, this chapter focuses on acquiring, storing, processing, and compressing images and videos. This chapter describes how CV software impacts tasks such as processing, communications, storage, and compression besides other applications specific to a UAV cyber-physical system (CPS). Additionally, Section 2.2 explains the general architecture of the cloud-based UAV-CPS, the challenges, and design goals. Section 2.3 discusses memory usage in UAV, specific requirements, limitations of onboard storage, and general solutions. Section 2.4 briefs the UAV data logging (DL), primary benefits, and protocol standardisation with examples. Section 2.5 grants a view of the different types of DL, requirements, and proposes solutions. Section 2.6 discusses future trends of data storage, data processing, control, the impact of big data, complexity, privacy barriers, infrastructure, and other challenges.
Towards a Framework for Designing Playful Gustosonic Experiences

The notion of gustosonic refers to the link between eating actions and listening within a combined multisensory experience. When it comes to designing celebratory technology for eating, i.e. technology that celebrates the experiential and playful aspects of eating, the use of sound has been mostly underexplored. In this paper, we present our work based on two case studies for the design of playful gustosonic experiences. Through an analysis of user experiences of our work, we propose a design framework for designing playful gustosonic experiences to understand the interrelationship between interactive sounds and eating experiences. Ultimately, with our work, we aim to inspire designers in creating gustosonic experiences supporting a more playful relationship with food.
Development and Testing of a Two-Factor Questionnaire of Organizational Citizenship Behavior of Employees

The article discusses the existing one-dimensional and multidimensional questionnaires (scales) of organizational citizenship behavior, extra-role behavior and contextual performance. The article presents a new questionnaire of organizational citizenship behavior, which was developed taking into account the limitations of the existing scales. It consists of two subscales for assessing such aspects of behavior as “qualified ideas and suggestions” and “help and support”. The questionnaire includes six items of three in each subscale. It measures two aspects of citizenship behavior at the same time at the level of a small group and a structural unit in medium-size and large state and commercial organizations. A study was conducted among 54 managers who evaluated 538 employees from various Russian organizations through this questionnaire. The content validity of the questionnaire was assessed. Factor analysis was used, the Cronbach alpha and Pearson correlation coefficients were calculated. It was found that the questionnaire as a whole has validity and reliability.
Media Pembelajaran Online Untuk Mendukung Belajar Pada Stebis Islam Darussalam

This research was conducted to develop a learning system in STEBIS Islam Darussalam. STEBIS Islam Darussalam is one of the private universities in South Sumatra Province, Lempuing District, Ogan Komering Ilir Regency. The learning system in STEBIS Islam Darussalam which is currently being implemented face-to-face meetings in the classroom with several ways of delivering material include presentations, discussions, and questions and answers directly. The media used in learning are physical books, projectors, and blackboards. As for the weaknesses of this system, if there are students who are not familiar with the material and miss the material it will be difficult to study or repeat the material because they have to find book sources that are used as reference material. Students who want to relearn the material must also bring the material in physical form, it is also quite difficult if it cannot be carried anywhere. The solution to overcome these problems is the need for the development and addition of online learning media such as online modules. The online module is presented in an electronic format and accessed online. The purpose of developing online learning media is to facilitate students in learning and repeating material, because learning media can be accessed online. The method used in system development is the waterfall method with several stages of requirements (requirements analysis), system design (system design), coding (coding) &amp; testing (testing), Program Implementation, maintenance. This research produced online learning media at STEBIS Islam Darussalam.