Reviewerly/exHarmony huggingface dataset:
Utilization of Information and Communication Technology in Agriculture

Abstract The purpose of this study is to analyze the benefits of ICTs to support agricultural development. This study used qualitative research methods. The results of this study are, the application of ICT in the agricultural sector can reduce risk in business in agriculture. Because the presence of ICTs in the agricultural industry can make predictions more accurately, with various sources and decision support systems and expert systems that can be developed to support farmers in the decision-making process. This research was conducted to find out how influential the role of information and communication technology (ICT) is in the agricultural industry.
Eye-Tracking Study of Direction Influence of User’s Attention for Intelligence System Design

The user behaviour monitoring in various media platform (e.g. internet applications, e-shops and websites) is currently a perspective area of intelligent systems development. In our work, we focus on the area of user behaviour by using an eye camera. It is a testing that monitors the user’s gaze and then evaluates it. The large number of eye movements that are captured by the camera are automatic and unaware for a user. It is a natural effect that a person automatically responds to the face of another person displayed in the photo. This claim can be proved very well by the eye-tracking method. When evaluating the results, we can notice there exist the interdependent of the direction of view of the person shown in the picture and the subsequent gaze of the user. It means that changing the user’s gaze happens automatically and the user follows the gaze of the person displayed in the photo. The above dependency has already been investigated in other studies. The aim of these studies was mainly to identify mechanisms and stimuli that affect the user’s attention. Some studies also focused on examining peripheral vision, which can demonstrably affect the direction in which the user’s gaze is taken. An example is the paradigm of a spatial cueing task known as the Posner Paradigm or Posner’s Attention Test. The base of this testing was also the study, which is the model of our work.
Design of Learning Media for Web-Based Subjects Geography. (Case study: Class XI majoring in social studies at Citra Nusa Senior High School)

Abstract Learning about geography is very important for students to learn. By knowing the geographical layout, students can find out various kinds of natural resources produced by a place or location. Limited time to explore each topic is also a problem that must be faced to improve their understanding of geography subjects. This research used descriptive qualitative method by collecting detailed, in-depth and actual data. This method is derived from knowledge and facts found in the field. Interactive learning has the potential to create a high-quality learning environment that actively engages students, hopefully increasing interest in understanding better thus the target can be achieved by the teacher. The resulting application can be a good choice for delivering learning material as well as for generating interest in learning as well as students’ understanding of geography subject matter so as to enhance student achievement. The information obtained by students is very important so students realize that Indonesia is a producer of many natural resources. The form of development this application is to assist students in understanding the concept of learning material that is presented interactively by the system and is able to understand about all the natural resources produced at that location.
Analysis of Road and Bridge Conditions by Utilizing WEBGIS Technology to Support The road and Bridge Maintenance Program in Indonesia

Abstract The road is one of the land transportation infrastructures that serve to serve the movement of people and goods. Roads are said to be good if they are planned so that the safety and comfort elements of road users can be guaranteed well. Each region has its regional conditions and characteristics that can distinguish road maintenance needs between regions and others. The maintenance of roads and bridges depends on an analysis of the condition of the data from the objective survey results. The problem that often occurs is the lack of technical data on roads and bridges that is suitable for the field so that the analysis of road maintenance needs is difficult. The study used survey methods to collect technical data on roads and bridges in the area. The survey was carried out by tracking the road using GPS, where at every 100 m the length of the road was documented to determine the condition and type of the road surface. The results of the survey data accumulation are then processed in the WEBGIS application to find out the analysis and visualization of tracking, road conditions, and road surface types as information for managing road improvement. The application of WEBGIS is used to be able to describe the analysis and visualization of road maps quickly, accurately and online based on survey data. Survey documentation refers to the attribute data in Regulation of the Ministry of Public Works and Housing No. 25 year 2014. The results of WEBGIS are beneficial for stakeholders in Indonesia to obtain information on the actual conditions of roads and bridges so that the road maintenance program can be carried out on target.
Development of Digital Skills and Impact on Advanced Excel Learning through the use of Edmodo virtual platform

The teaching - learning process that can be implemented in a Higher Education institution for a student to assimilate the knowledge and skills necessary for the use and mastery of a software as commonly used as the Excel spreadsheet, should consider the use of techniques , strategies and particular methodologies if it is to develop skills for the management of this software at medium and advanced level. This research presents the results obtained having used as a strategic tool the virtual platform Edmodo within the course of Computer Science II for the Accounting Education Program, so that the student acquires on one hand the necessary knowledge for the management of the mentioned software, the development of digital skills, the motivation to learn, the promotion of responsibility and proactivity for the study, as well as the acquisition of different habits to those that can develop without an information technology like this.
Gene Expression Programming with Multi-Threading Evaluation and Gene-Reuse Strategy

As an approach widely used in automatic programming, the efficiency of the traditional GEP algorithm has gradually failed to meet the needs of users since its bottleneck in the evaluation phase. In this paper, a novel strategy named Gene-Reuse is proposed to improve the efficiency of GEP. In contrast to the traditional evaluation phase of GEP, the Gene-Reuse strategy features a novel mechanism that the Gene-Reuse strategy directly reads the pre-saved fitness value of chromosomes if these chromosomes have appeared in the previous population evolution. By applying that mechanism to the traditional GEP, the optimized algorithm can avoid many meaningless repeated calculations that improve the overall efficiency of the algorithm. Further, combining with multi-threading technology, a new Gene Expression Programming algorithm MTEGR-GEP that has significant performance compared with the traditional GEP algorithm is introduced to solve the existing problems of GEP mentioned above. Experimental results on several symbolic regression problems show that MTEGR-GEP has a significant improvement in efficiency compared to the traditional GEP.
Classification in a Distributed System - A Study of Random Forest in the Hadoop MapReduce Framework

Due to the massive increase in the amount of data collected and stored globally, new issues of data processing and algorithm compatibility has come to light. Processing large datasets is a challenge for commodity systems due to its limited processing capabilities while specialized and more powerful processing systems are costly to set up and use. This research will focus on a distributed system known as the Hadoop Framework that uses commodity machines to create a combined and more powerful system that is able to process big datasets much more efficiently. The Hadoop Framework processes data in a distributed and parallel environment which is unlike the processing mechanisms used in a traditional commodity computer system. However, this change in the nature of processing demands a change in the underlying structure of the machine learning algorithms that process the data. The research will delve at implementing the Random Forest algorithm in the Hadoop Framework. The Random Forest algorithm will be executed on a four-node Hadoop Cluster inputting data of varying sizes at a time. Performance of the algorithm will be measured by analyzing execution Time, Accuracy, Kappa, Reliability and Standard Deviation measures. Results will show that the execution time reduces constantly as the size of dataset increases thus making the system a key tool for processing large datasets.
Behind the screen: content moderation in the shadows of social media

In Behind the Screen (2019), Sarah Roberts introduces us to the world of commercial content moderation (CCM). Although online moderation is an activity that has been practiced for some decades now,...
An Elliptic Curve Cryptographic Coprocessor for Resource-Constrained Systems with Arithmetic over Solinas Primes and Arbitrary Prime Fields

Many resource-constrained systems still rely on symmetric cryptography for verification and authentication. Asymmetric cryptographic systems provide higher security levels, but are very computational intensive. Hence, embedded systems can benefit from hardware assistance, i.e., coprocessors optimized for the required public key operations. In this work, we propose an elliptic curve cryptographic coprocessors design for resource-constrained systems. Many such coprocessor designs consider only special (Solinas) prime fields, which enable a low-complexity modulo arithmetic. Other implementations support arbitrary prime curves using the Montgomery reduction. These implementations typically require more time for the point multiplication. We present a coprocessor design that has low area requirements and enables a trade-off between performance and flexibility. The point multiplication can be performed either using a fast arithmetic based on Solinas primes or using a slower, but flexible Montgomery modular arithmetic.
Solving Jigsaw Puzzles Using Variational Autoencoders

Machine learning has recently occupied a remarkable position due to the ability of engagement in various systems and applications. As a result, a significant effort has been directed to enhance the existing techniques and present a critical assessment of applying these techniques in different applications. However, there is a wide room of improvements, especially for solving common problems using simpler architectures such as variational autoencoders. The simplicity of variational autoencoders makes it suitable for wide range of applications and systems. Among these applications is solving Jigsaw problem, which is based on reconstructing images from shuffled image tiles. Many articles addressed the Jigsaw problem and proposed different solutions, however the presented techniques suffer from high complexity and long training time. In this work, we explore the use of variational autoencoders to learn high level features to reconstruct images from shuffled image tiles. We also explore the use of the learnt features in transfer learning to adapt the trained model to other tasks such as classification or detection. To the best of the authors knowledge, this type of problems has never been addressed using variational autoencoders technique before. We obtained around the bar results with the more complex CNN-based models.
OTDA: a Unsupervised Optimal Transport framework with Discriminant Analysis for Keystroke Inference

Keystroke Inference has been a hot topic since it poses a severe threat to our privacy from typing. Existing learning-based Keystroke Inference suffers the domain adaptation problem because the training data (from attacker) and the test data (from victim) are generally collected in different environments. Recently, Optimal Transport (OT) is applied to address this problem, but suffers the “ground metric” limitation. In this work, we propose a novel method, OTDA, by incorporating Discriminant Analysis into OT through an iterative learning process to address the ground metric limitation. By embedding OTDA into a vibration-based Keystroke Inference platform, we conduct extensive studies about domain adaptation with different factors, such as people, keyboard position, etc.. Our experiment results show that OTDA can achieve significant performance improvement on classification accuracy, i.e., outperforming baseline by 15% to 30%, state-of-the-art OT and other domain adaptation methods by 10% to 20%.
Hardware Performance Evaluation of Authenticated Encryption SAEAES with Threshold Implementation

SAEAES is the authenticated encryption algorithm instantiated by combining the SAEB mode of operation with AES, and a candidate of the NIST’s lightweight cryptography competition. Using AES gives the advantage of backward compatibility with the existing accelerators and coprocessors that the industry has invested in so far. Still, the newer lightweight block cipher (e.g., GIFT) outperforms AES in compact implementation, especially with the side-channel attack countermeasure such as threshold implementation. This paper aims to implement the first threshold implementation of SAEAES and evaluate the cost we are trading with the backward compatibility. We design a new circuit architecture using the column-oriented serialization based on the recent 3-share and uniform threshold implementation (TI) of the AES S-box based on the generalized changing of the guards. Our design uses 18,288 GE with AES’s occupation reaching 97% of the total area. Meanwhile, the circuit area is roughly three times the conventional SAEB-GIFT implementation (6229 GE) because of a large memory size needed for the AES’s non-linear key schedule and the extended states for satisfying uniformity in TI.
A Blockchain-Based Resource Supervision Scheme for Edge Devices Under Cloud-Fog-End Computing Models

As a combination of cloud computing and edge computing, cloud-fog-end computing models are gradually replacing traditional centralized cloud computing models due to their high controllability and low latency. However, this model has certain shortcomings in terms of resource awareness of edge devices. Two problems are the most prominent. One is that it is difficult to measure the resources of the edge device fairly, and the other is that it is challenging to monitor the resource status in real-time. This circumstance significantly limits the future application of this model. In this paper, we propose a blockchain-based resource supervision scheme for edge devices under the framework of the cloud-fog-end computing model. The scheme uses the data openness and verifiability of the public chain to measure and record the resource status of the edge devices through the smart contract. Besides, it uses the high controllability and designability of the consortium chain to supervise the resource status of the edge devices in the fog computing network in real-time. In addition, based on the structure of the scheme, we demonstrate the feasibility and security from multiple perspectives and carry out simulation experiments in the model of TensorFlow-federated. Experimental results show that the scheme can effectively monitor the resources of edge devices in real-time, and this scheme can be used to implement federated machine learning in fog computing networks.
The Preparation of Graphic Models for a Virtual Reality Application in Unity

Although Virtual Reality has existed for decades, it is currently experiencing a boom. This is mainly due to the new powerful hardware devices available to many people. Accompanying this greater availability, the fields of use are also currently expanding – medicine, military, business, engineering, education, entertainment, etc. The main purpose of Virtual Reality is to provide the user with a real-looking simulated environment, including interaction. Specialised developer software tools are used in order to create Virtual Reality applications that exploit suitable 3D graphics models. This paper deals with the creation and preparation of such graphical models - including textures, and the problems of the conversion process, to a developer application. Blender is used to create models and UV maps. The export of these models and UV maps from Blender is set up for easy implementation in the Substance Painter software, where the textures are drawn - and later, into the Unity developer engine for Virtual Reality application.
NExtSteP: An Extensible Testbed for Network Covert Channels

We describe the design, initial implementation, and preliminary use of an extensible testbed-the NRL Extensible Stealthy Protocol (NExtSteP) testbed-for studying stealthy communication via covert channels in network traffic. We present the architecture and initial implementation of NExtSteP, including traffic (synthetic generation or the ingestion of real-world data), message embedding, channel modeling, the use of various tests to detect embedded messages, and the evaluation of those detection methods. We also present some preliminary results to demonstrate the utility of the testbed; these include results on synthetic data to validate the testbed and a demonstration of analysis of real-world data.
A Historical Account of My Early Research Interests

concern Program Transformation, Parallel Computation, Theory of Concurrency, and Proof of Program Properties.My early research activity has been mainly done in cooperation with Andrzej Skowron, Anna Labella, and Maurizio Proietti.* This work has been partially
Decision support system for selection of tourism in Tana Toraja using technique for order preference method by similarity to ideal solution (topsis)

Abstract Tana Toraja is one of the favorite tourist destinations in South Sulawesi. In Tana Toraja, there are many tourist sites that offer various advantages each. This can make tourists confused in determining the right tourist location to visit. Therefore we need a system that can provide the right information in determining the exact location of a tourist destination. This study aims to make it easy for prospective visitors to choose tourism objects in Tana Toraja that they wish. The method used in this study is the TOPSIS and fuzzy methods that can provide an alternative ranking of tourist attractions. The result of this Decision Support System is to produce recommendations for tourist attractions that can be visited by tourists.
Feasible Polynomial Trajectory Planning for Aerial Manipulation

A method is proposed to extend a feasible trajectory planning technique for thrust vectoring UAV, such that it can be applied to aerial manipulators. This method utilizes high-degree polynomials to calculate the system dynamics that would be necessary to perform a trajectory in a time-constrained manner. The use of this method provides a high quality trajectory that can be used in conjunction with an almost global exponential stable tracking controller. A two-step method is proposed to optimize flight time based on actuator constraints of the system, and allows for flight aggressiveness to be tuned based on a minimal set of parameters.
Understanding the basic concepts in seismic rehabilitation

In most cases earthquake as a natural disaster has caused irreparable life and financial losses. This has prompted organizations and associations to devise regulations to design safe buildings against earthquakes and eventually submit those regulations to engineers for use. Regulations have also been developed to improve the seismic performance of existing buildings and structures. These bylaws are constantly being updated. Therefore it is necessary to create a comprehensive model in the minds of readers to identify the elements and levels of performance and the main concept of seismic rehabilitation in the use of existing bylaws. This chapter and Chapter 2 are considered as the first section. This section helps readers to become fully acquainted with the key concepts and parameters and the comprehensive criteria so that they can analyze the contents of any code and book on the subject of seismic rehabilitation. Also, when faced with any existing building, identify the building’s generality and its constituent elements, and finally develop a seismic rehabilitation algorithm.
Analysis and Verification of the Quality of the Structural Elements of a Bulgarian National Embroidery Information System

Intelligent technologies use models, software applications and practices of collection, integration, analysis and presentation of information necessary for automatic generation of knowledge. Integrating knowledge databases into the data processing would contribute to the creation of interactive and cognitive software solutions. Since historical research is a domain that provides interesting opportunities for the introduction of ontologies, not only computer scientists, but historians are also interested in popularizing this kind of data repositories. This article presents the analysis and verification of the functionality of a software system that allows working with factual information about Bulgarian national embroidery. As this task is the intersection of various disciplines and technological spaces, and it has not been covered by any specific software system it poses a number of problems, the resolution of which is the main objective of the working team.
Buschman–Erdélyi integral and transmutation operators

This chapter introduces an important class of transmutations, namely, Buschman–Erdélyi integral and transmutation operators. For example Riemann–Liouville fractional integrals, classical Sonine and Poisson operators, and Mehler–Fock transforms are special cases of this class. The name “Buschman–Erdélyi integral and transmutation operators” was introduced by S. M. Sitnik. We consider for Buschman–Erdélyi operators definitions and main properties, an exact and convenient classification, different factorizations and connections with the Mellin transform, norm estimates, and a criterion for unitarity for half-integer parameters. We also introduce new classes of Sonine–Katrakhov and Poisson–Katrakhov transmutations which are unitary for all real parameters and multi-dimensional versions. Different applications of Buschman–Erdélyi operators are considered in this chapter.
Let’s Accept a Mission Impossible with Formal Argumentation, or Not

We show with a plain example how causal dependency among arguments could lead to an infeasible acceptability judgement in abstract argumentation resulting in acceptance of some argument when no arguments that could engender it are acceptable. While the dependency is somewhat like necessary support relation in the literature, differences are still clearly noticeable, as we are to show. We present abstract argumentation theory with a causal relation, which can be termed causal abstract argumentation or as bipolar argumentation with causal support interpretation. We formulate causal acceptability semantics for this theory as the counterparts of acceptability semantics in abstract argumentation, also detailing the relation between them.