Reviewerly/exHarmony huggingface dataset:
Classification of Transient Facial Wrinkle

Classification of transient wrinkle is an important application in research related to the skin aging, facial expression and skin analysis. Many researches have been done in the detection or classification of wrinkle, but it still needs some improvement in the algorithms, either in feature extraction part or classification. In this study, classification of transient wrinkle is proposed by using wrinkle features that extracted from the combination algorithms of Gabor wavelet and Canny operator. The facial wrinkle features are then classified by using artificial intelligent method which are Artificial Neural Network (ANN) and K-Nearest Neighbors (KNN). These two classifiers are trained and tested, and then the performance of each classifier is compared to getting the higher accuracy. 130 face images from various sources are used in the experiments, 65 of the total face images contains wrinkles on the forehead. The results show that ANN classifier only achieves 96.67% accuracy, while the KNN classifier obtained the highest accuracy with 100%. The comparison demonstrates that KNN works well in this classification. This result also proved that the extraction of facial wrinkle using a combination of Gabor and Canny detector is successful.
SA-EF Cube: An Evaluation Framework for Assessing Intelligent Context-Aware Critical Information Infrastructure Protection Solutions

Advances in technologies such as cloud computing and Bring Your Own Technology (BYOT) environments have dramatically changed the way in which organisations do business. Critical Information Infrastructure (CII) is at the core of this revolution, yet it has become an almost impossible task to protect CII against all possible threats effectively. Multi Agent Systems (MASs) and have addressed Critical Information Infrastructure Protection (CIIP) from unique ways, yet these approaches often lack a sufficient contextualisation of the environment and its dynamism. Without a sufficient contextualisation of an environment and the dynamism that is associated with it, an automated CIIP mechanism will never be truly effective. To address this contextualisation problem that autonomous CIIP-mechanism face, the SA-EF Cube model is proposed. The model can be used as a “checklist” to assess if an autonomous CIIP solution covers the fundamental requirements to contextualise the problem domain of CIIP. The SA-EF Cube model is by no means exhaustive in nature, serves as solid foundation for an implementation checklist before any CIIP mechanism is contextualised and developed.
A Brute-Force Solution to the 27-Queens Puzzle Using a Distributed Computation

The N-Queens Puzzle is an intriguing mathematical riddle that provokes many interesting but hard questions albeit having an astonishingly simple problem statement. One of these questions asks for the number of non-attacking placements of N queens onto a generalized $$N\times N$$ chessboard. While estimates and bounds can certainly be given, the exact solution counts, so far, have not lent themselves to a reasonable closed-form solution but rather to showcasing the arts of computer programming - and of digital design - in a tedious systematic exploration of the vast solution space. Already, Donald Knuth has made it a classic example illustrating the technique of backtracking. The largest problem sizes with known solution counts are N = 26 and N = 27. Both of them were first obtained by distributed computations relying on nodes featuring solver engines built within field-programmable hardware. This presentation will briefly introduce the capabilities and opportunities of programmable hardware highlighting its great fit for exploring the N-Queens Puzzle. It will illustrate how the computations were partitioned and how symmetries were used to prune the search spaces before even starting. Finally, the distributed architectures running the actual computations over several months each will be detailed.
Dissemination of Webquest with Active Learning Strategy on Entrepreneurship Psychology Courses

The purpose of this study is to produce a product in the form of a webquest media with active learning strategy in the subject of entrepreneurship psychology which has been expanded to counseling study programs at the PGRI Semarang University and IKIP Veteran Semarang to produce students who have entrepreneurship
Digital Forensics for Frame Rate Up-Conversion in Wireless Sensor Network

With the rapid development of wireless sensor network, the transmission and processing of multimedia data gradually become the main task of wireless sensors. To reduce the data bandwidth, many wireless sensors use frame rate up-conversion (FRUC) to recover the dropped frames at the receiver. FRUC is actually a temporal-domain tampering operation of video at the receiver, and FRUC forgery can be found by analyzing the statistical feature of the video. In this chapter, a forensics algorithm based on edge feature is proposed to discover forged traces of FRUC by detecting the edge variation of video frames. First, the Sobel operator is used to detect the edge of video frames. Then, the edge is quantified to obtain the edge complexity of each frame. Finally, the periodicity of the edge complexity along time axis is detected, and FRUC forgery is automatically identified by hard threshold decision. Experimental results show that the proposed algorithm has a good forensics performance for different FRUC forgery methods. Especially after the attacks of de-noising and compression, the proposed algorithm can still ensure high detection accuracy.
Cognitive-Behavioural Desensitisation Training—The Principles of My Original Programme Using a Rotating/Tilting Chair

When I devised the cognitive-behavioural desensitisation training programme some years ago, it was and still is based on the concept that chronic motion sickness could well have both physiological and psychological features. My earlier dismal experience with trying to identify successful predictors left me with the feeling that in any given person, I was unable to decide whether his or her problem with motion sickness was more physiological or more psychological. For those reasons, I avoided the issue by planning to cater for both of these characteristics in parallel, on the basis that each individual would get whatever quantum of each type of help that was needed. I am bound to say that in retrospect, I could often have made the correct judgment about the likelihood of success after the training was completed. Does that really matter, however? I think not. You will make your own decision on that point.
ALEXEI NASEDKIN’S PEDAGOGICAL PRINCIPLES IN LINE WITH MOSCOW PIANO SCHOOL

The article deals with the pedagogical principles of one of the leading professors of Moscow Conservatory - Alexei Nasedkin. Basing on the memories and testimonies of his students, as well as the graphological examination of handwriting and unique documents of Moscow Conservatory Archives, Nasedkin’s teaching style was partially recreated, which is linked inextricably with his human qualities and performing appearance. The analysis of the musician’s basic pedagogical views reveals their close relationship with Moscow pianistic tradition in the person of the colleagues-predecessors - A. Goldenweiser, K. Igumnov, H. Neuhaus and S. Feinberg.
Assessments and Surveys Using a Can-Do List for Global Communication in Engineering

The authors surveyed 100 personnel managers at Japanese companies with a list of Can-do descriptors and identified the levels of global communication proficiency expected from engineers. We used the list to compare the proficiency levels of Japanese and foreign students in global PBL programs. The levels of the foreign students met levels desired by the managers, but those of the Japanese students were much lower. The list was also used to assess the proficiency of Japanese students before and after they took a graduate course and a global PBL program. The assessment results suggest that Japanese engineering students need educational trainings for their language production skills, and their global communication skills can be enhanced through a properly designed educational program.
An interval branch and bound algorithm for parameter estimation and application to stereovision

The parameter estimation problem is a challenging problem in engineering sciences consisting in computing the parameters of a parametric model that fit observed data. The system is defined by unknown parameters and sometimes internal constraints. The observed data provide constraints on the parameters. The parameter estimation problem is particularly difficult when some observation constraints correspond to outliers and/or the constraints are non convex. For dealing with outliers, the RANSAC ran-domized algorithm is efficient, but non deterministic, and must be specialized for every problem. In this work, we propose a generic interval branch and bound algorithm that produces a model maximizing the number of observation constraints satisfied within a given tolerance. This tool is inspired by the IbexOpt Branch and Bound algorithm for constrained global optimization (NLP) and is endowed with an improved version of a relaxed intersection operator applied to the observations. The latest version of our B&B follows the Feasible diving strategy to visit the nodes in the search tree. Experiments on a stereovision problem have validated the approach.
Architecture for Cooperative Interacting Robotic Systems Towards Assisted Living: A Preliminary Study

The present study aims at providingCiuccarelli, L. a robotic architecture system composed by a semi-autonomousFreddi, A. mobile robot andIarlori, S. a manipulatorLonghi, S. robot. The user, on a smart wheelchair, is able to move in an indoorMonteriù, A. environment, byOrtenzi, D. selecting, through a user-interface, the room where he/she wants to move and the object he/she would like to get. In case an objectProietti Pagnotta, D. is selected, the user is automatically driven in front of a robotic workstation, where the desired object is picked and placed by a robotic arm in front of the user. The system has been tested on a simulator, and preliminary experimental results show the feasibility of the proposed architecture.
Work Analytic Tools: Needs Assessment Tools for HPT Professionals

This article presents the addition of work analytic tools (WATs) to the performance technologist's tool kit. These tools apply the language-of-work formula (developed, tested, and published in various forums over the past two decades) to achieve an array of performance improvement solutions. Using these WATs changes our role from conductor of analysis to facilitator of solution. As a result, clients become more committed to the solutions they themselves define and must solve, implement, and measure for effectiveness.
Generation and Validation of Frame Conditions in Formal Models

Operation contracts are a popular description means in behavioral system modeling. Pre- and postconditions are used to describe the effects on model elements (such as attributes, links, etc.) that are enforced by an operation. However, it is usually not clearly stated what model elements may be affected by an operation call and what shall remain unchanged—although this information is essential in order to obtain a comprehensive description. A promising solution to this so-called frame problem is to define additional frame conditions. However, properly defining frame conditions which complete the model description in the intended way can be a non-trivial, tedious, and error-prone task. While in general there are several tools and methods for obtaining formal model descriptions and also a broad variety of approaches for the validation and verification of the generated models, corresponding methods for frame conditions have not received significant attention so far. In this work, we provide a comprehensive overview of recently proposed approaches that close this gap and support the designer in generating and validating frame conditions.
Simplified Covariance Estimation and Target Observation Management Method for On-Board Optical Navigation of Deep Space Probe

On-board orbit determination (OD) using directions of celestial bodies, planets and asteroids, in the Solar System for the Autonomous Navigation (AutoNav) is introduced in this paper. For deep space missions, OD has been performed by Range and Range Rate (RARR), which is a traditional ground tracking approach by radio waves. RARR enables the higher accuracy of OD than other methods. However, such radio navigation has the inevitable problems, such as strength reduction of radio waves and the transmitter limitation. Furthermore, people must stay and operate the spacecraft on the ground station, which makes the operating cost and burden considerable. Therefore, there has been a growing interest in the autonomy of the spacecraft in recent years to avoid the above-mentioned problems. This paper considers on-board OD using directions of celestial bodies from spacecraft. In particular, the selection of target bodies to observe is focused on because it's important that the selection of such target bodies leads to the satisfaction of mission requirements or increment of scientific observation. Then, this paper presents the method for the target selection, which is computationally cheap and makes the target selection easy.
Digital Forensics and Cyber Law Enforcement

Security, safety, and privacy are of paramount importance to anyone who likes to crawl on the web. Keeping the best interest of the internet users in mind, India has laid down very solid foundations to safeguard its people from cyberattacks and cyber terrorism. The word “cyber law” encompasses all the cases, statutes, and constitutional provisions that affect persons and institutions who control the entry to cyberspace, provide access to cyberspace, create the hardware and software that enable people to access cyberspace or use their own devices to go “online” and enter cyberspace. Cyber crimes are unlawful acts wherein the computer is either a tool or a target or both. Cyber crimes can involve criminal activities that are traditional in nature, such as theft, fraud, forgery, defamation, and mischief, all of which are subject to the Indian Penal Code.
Research Review on Web Service Composition Testing

Web services composition is designed to achieve a more powerful and large-grained services with organic synthesis of different Web services. In order to guarantee the quality of the Web services composition, comprehensive and adequate testing of the Web services composition is required. However, the dynamic and distributed characteristics of Web services combination make its testing technology and method have big difference with the traditional software testing and bring a large of challenges. In this paper, we summarize and analyze the definition, architecture, testing methods and testing techniques of Web service composition. In addition, we also analyze and prospect the progress of Web services combination testing.
Agile and FBM: A Match Made in Heaven

The agile way of working is often abbreviated to the principle: “working software over comprehensive documentation”, which is interpreted as “not need for documentation at all”. Looking carefully at the Agile manifesto, one also discovers the principle “continuous attention to technical excellence and good design enhances agility”. In this paper, we will cover the Agile principles and values mentioned in this manifesto and demonstrate how well fact-based modelling fits these principles and values.
UbiRS4Tourism: Design and Development of Point-of-Interest Recommender Systems Made Easy

Point-of-Interest (POI) recommender systems recommend POIs to users based on their preferences. POI recommender systems can be utilized in a variety of mobile and web applications for tourism, touristic websites, travel agency systems, etc., aiming not only to increase customer satisfaction and improve user experience while interacting with these applications but to eventually increase business revenue as well. In this respect, tourism businesses can directly benefit from developing and deploying recommender systems in their platforms. However, developing effective recommender systems by non-recommender system experts, such as Tourism practitioners and web developers, is not an easy task due to the complexity of building data models and selecting and configuring recommendation algorithms. In this paper, the “Ubiquitous Recommender Systems for Tourism” (UbiRS4Tourism) Model Driven Framework for the POI for tourism recommendation domain is proposed. The UbiRS4Tourism Framework utilizes a model driven methodology and defines a novel graphical Domain Specific Modelling Language, aiming to reduce the complexity and expedite the development of POI recommender systems for tourism by practitioners/developers with no expertise and background in recommender systems.
An Attention-Based Model for Learning Dynamic Interaction Networks

In the physical world, complex systems are generally created as the composition of multiple primitive components that interact with each other rather than a single monolithic structure. Recently, spatio-temporal graphs received a reasonable amount of attention from the research community since they emerged as a natural representational tool able to capture the interactive and interrelated structure of a complex problem. To better understand the nature of complex systems, there is the need to define models that can easily explain the learned causal relationship. To this end, we propose an attentive model able to learn and project the relational structure into a fixed-size embedding. Such representation naturally captures the dynamic influence that each neighbors exert over a given vertex providing a valuable description of the problem setting. The proposed architecture has been extensively evaluated against strong baselines on toy as well as real-world tasks, such as prediction of household energy load and traffic congestion.
Avatar-Based Supply Chain Management as Expert Knowledge for Smart Solutions

This chapter discusses issues related to managing the avatar-based supply chains as expert knowledge for smart solutions in creating sustainable urban systems. Avatar-based supply chains as expert knowledge is a new term that describes the planning, search, production, distribution, and delivery of Mkrttchian's digital avatars from the place of origin to consumption. These supply chains are very different from traditional ones because they relate to a specific product-expert knowledge, which is created through electronic data distributed on the internet between business partners and value-added service providers operating in a general digital economy paradigm using blockchain technologies. This chapter focuses on the analysis of business relations and this integration into sustainable urban systems.
Determination of stresses in concrete lining with rock-bolt in case of exhaustion of rock-bolt supporting strength

The article deals with the solution of analytical problem of flat axisymmetric elasticity theory, when rock-bolt supporting strength is exhausted. Expression for determination of stresses in concrete lining is deduced, where pressure increasing at exploitation have regarded. This methodology can be used at blueprint stage and preliminary calculation during mining operations. Further evaluation of concrete lining strength and geophysical probe of rock is needed for the preliminary calculation.
An Empirical Study on the Comprehensibility of Graphical Security Risk Models Based on Sequence Diagrams

We report on an empirical study in which we evaluate the comprehensibility of graphical versus textual risk annotations in threat models based on sequence diagrams. The experiment was carried out on two separate groups where each group solved tasks related to either graphical or textual annotations. We also examined the efficiency of using these two annotations in terms of the average time each group spent per task. Our study reports that threat models with textual risk annotations are equally comprehensible to corresponding threat models with graphical risk annotations. With respect to efficiency, however, we found out that participants solving tasks related to the graphical annotations spent on average $$23\%$$ less time per task.
PageRank Algorithm-Based Recommender System Using Uniformly Average Rating Matrix

Applications of web data mining is the prediction of user behavior with respect to items. Recommender systems are being applied in knowledge discovery techniques to the problem of making decisions on personalized recommendation of information. Traditional CF approaches involve the amount of effort increases with number of users. Hence, new recommender systems need to be developed to process high quality recommendations for large-scale networks. In this chapter, a model for UAR matrix construction method for item rank calculations, a Page Rank-based item ranking approach are proposed. The analysis of various techniques for computing item-item similarities to identify relationship between the selected items and to produce a qualified recommendation for users to acquire the items as their wish. As a result, the new item rank-based approaches improve the quality of recommendation outcome. Results show that the proposed UAR method outperforms than the existing method. The same method is applied for the large real-time rating dataset like Movie Lens.
Investigation and Study on the "Dragon Boat Race" of Ankang Folk Sports

This paper investigates and studies the "dragon boat race" of folk sports activities in Ankang city to understand the cultural connotation of dragon boat race and the development history of "dragon boat race" in this region. In this paper, the literature review, questionnaire survey, field visits, and statistics and analysis of data are used to investigate and study the current situation of the development of the "dragon boat race" in Ankang. It aims to provide a valuable and meaningful reference for the inheritance and development of the "dragon boat race" movement in Ankang.
Language-Ontology-Based Russian-Chinese Basic Sentence Bank Construction

Language ontology is one of the research hotspots in artificial intelligence, knowledge engineering and natural language processing. This paper discusses what kind of language ontology is needed for natural language processing and how to construct such language ontology, and tries to establish a Russian-Chinese bank of basic sentences for natural language processing based on language ontology. The final implementation of the language resource engineering shows the effectiveness of our novel construction approach.
Digital Economy in Egypt

The evolutionary stages for each state are crucial to foresee its fate. After the 2011 revolution events, Egypt suffered from decline in all economic indicators. Nowadays, people live a new age of comprehensive economic reform. This article focuses on studying digital economy as one of the future economic aspects that helps achieving the sustainable development, and how to apply it in Egypt. It illustrates the global development in the digital economy; the current economic conditions in Egypt; the expected contributions of the digital economy to the Egyptian economy; the government efforts exerted towards building a digital economy; and the main elements supporting it.