Reviewerly/exHarmony huggingface dataset:
Komparasi Algoritma C4.5 Dan C4.5 Berbasis Pso Untuk Prediksi Jumlah Penggunaan BBM Perbulan Pada Kantor Dinas Lingkungan Hidup Dan Kebersihan Kabupaten Lombok Timur

East Lombok Regency is one of the second level regions in West Nusa Tenggara Province which is located on the east side of Lombok Island. The capital city of East Lombok Regency is the city of Selong, where all government agencies are based in this city. One of them is the Department of Environment and Hygiene of East Lombok Regency. In carrying out operational duties at the Office of Environment and Hygiene the operational vehicle requires that the fuel oil is a subsidy from the government. Therefore, the use of BBM every day must be recorded properly so that it can be predicted the amount of fuel usage every month. However, the Office of the Environment and Hygiene Office has difficulty in processing such data in large quantities. Predicted information on fuel use is needed by the head of the agency to assist in making decisions or policies. Of these problems the right data mining technique to use is classification. One method of classification of data mining is the decition tree algorithm (C4.5) or called the decision tree. The decition tree (C4.5) algorithm has weaknesses in reading large amounts of data, so researchers use weighting by applying Particle Swarm Optimization (PSO) for attribute selection to increase the accuracy of C4.5. Thus the researcher will utilize data mining software in applying a comparison of the decition tree (C4.5) and C4.5 algorithms based on Particle Swarm Optimization (PSO) to get the best accuracy value in predicting the amount of monthly use of fuel oil at the Service Office Environment and Cleanliness of East Lombok Regency. DOI : 10.29408/jit.v2i1.1173
Thought Off-line Sanitization Methods for Bank Transactions

In the digital era, people generate a lot of digital traces ranging from posts on social networks, call detail records and credit or debit banks transactions among others. These data could help society to understand different urban phenomena such as what citizens are talking about, how they commute or what are their spending behaviors. Therefore, the use of such data trigger privacy issues. In the present effort, we study four different Statistical Disclosure Control filters to sanitize off-line credit or debit bank transactions. Consequently, we analyze Noise Addition, Microaggregation, Rank Swapping and Differential Privacy filters concerning Disclosure Risk, Information Loss, and utility. We observed that Microaggregation and Different Privacy perform very well for minimizing Disclosure Risk while providing a good utility for statistics of spending amounts per industry type.
The Spirit Inside Each Object

This chapter addresses the question of sound <italic>on</italic> film, that is, the optical imprint of sound in the recording mechanism within the realm of visual music studies. The conceptual critique of visual music vastly expanded in the 2010s as composers and sound artists have explored the predecessors of digital signal processing and audiovisual software, looking back to the earliest technologies that unveiled the nature of sound through the diachronic representation of soundwave structure on the optical soundtrack. This chapter begins by clarifying the historical and chronological details of one of the most cited interactions in the history of visual music studies between John Cage and German animator Oskar Fischinger in the 1930s and 1940s. Further examination of this connection reveals an important technological foundation to Cage’s call for the expansion of musical resources. New documentation on Cage’s early career in Los Angeles, including research Cage conducted for his father John Cage Sr.’s patents, explains his interest in these technologies. Concurrent with his studies with Arnold Schoenberg, Cage fostered an impressive knowledge of the technological foundations of television and radio entertainment industries centered in Los Angeles. Adopting the term “organized sound” from Edgard Varèse, Cage compared many of his organizational principles for percussion music to film-editing techniques.
JPEG column

The 81st JPEG meeting was held in Vancouver, British Columbia, Canada, at which significant efforts were put into the analysis of the responses to the call for proposals on the next generation image coding standard, nicknamed JPEG XL, that is expected to provide a solution for image format with improved quality and flexibility, allied with a better compression efficiency. The responses to the call confirms the interest of different parties on this activity. Moreover, the initial subjective and objective evaluation of the different proposals confirm a significative evolution on both quality and compression efficiency that will be provided by the future standard.
EVALUATION OF INFORMATION AND COMMUNICATION TECHNOLOGY (ICT) CHALLENGES IN TEACHING CHEMISTRY, A CASE OF ZIMBABWEAN POLYTECHNICS

We are living in a new age in which Information and Communication Technology (ICT) has become a key motivating force in almost all aspects of teaching and learning. The aim of this study was to ascertain the challenges faced by lecturers in the use of Information and Communication Technologies (ICTs) in the teaching of Chemistry at Polytechnics in Zimbabwe. The challenges faced by lecturers in teaching Chemistry were found to be extrinsic barriers such as inaccessibility of ICT resources, time constraints, limited technical support and lack of training as well as intrinsic barriers such as lack of competency, attitudes towards use, resistance to change and personal beliefs. The need to continuously train Chemistry Lecturers on the use ICTs was ascertained. Provision of adequate ICT gadgets, facilities and services in the teaching and learning of Chemistry is strongly recommended.
Improvisation—Play First, Write Later

This chapter describes a number of improvisational activities, including improvising using keyboards and Orff instruments, and explores pentatonic, whole-tone, and blues scales, among others. Through anecdote and example, the chapter discusses how movement and musical improvisation activities, based on visual patterns found in the classroom environment, can be used to create compositions. These visual patterns, found, for example, on the clothes that someone is wearing, can serve as notational systems and as a way of transitioning to invented and standardized notational systems. The chapter also considers the notions of the teacher as learner and of intentional listening as an important way of shaping musical improvisations.
Resilience and fault tolerance

Ultrascale computing is a new computing paradigm that comes naturally from the necessity of computing systems that should be able to handle massive data in possibly very large-scale distributed systems, enabling new forms of applications that can serve a very large amount of users and in a timely manner that we have never experienced before. It is very challenging to find sustainable solutions for ultrascale computing system (UCS) due to their scale and a wide range of possible applications and involved technologies.systems, and big data management. One of the challenges regarding sustainable UCS is resilience. Traditionally, it has been an important aspect in the area of critical infrastructure protection.
AI Powered Partially Parallelized Scheme for Multifactor Authentication

Smart planet is a world where all devices are given the power to communicate with people and other devices. For a planet to become smart, say earth, each country in the planet should become smart, which implies again for each country to become smarter each city in that country should become smart. This chapter discusses on how to offer smart security, an indispensable criteria for a smart planet. Section 6.1 defines the concept of a smart planet and the various criteria that must be considered when making an application smarter. Section 6.2 gives a broad idea on the components that will be needed and a brief introduction on the terminologies that will be used in later sections. Section 6.3 portrays the modeling and implementation of an AI powered partially parallelized multifactor authentication scheme as a product of smart security is discussed here. The model is experimented, and the results are viewed under different conditions with different data sets.
Predictive Human Resource Analytics Using Data Mining Classification Techniques

The turnover ratio of employees in organization is the most important concerns as employees switching of organization/ job leaves huge gape and affects the performance of that organization. Among many, job satisfaction is the prime reason of employees to quit/switch, which is also directly related to human resource management (HRM) practices of the organization. It is always difficult and sometime beyond the control of human resource (HR) department to retained their well-trained and skilled employees but Data mining can play role to predict those employees who are expected to quit/leave an organization such that the HR department can device intervention strategy or look for alternative. In this paper, we focus on similar problem, where we use data mining techniques such as J48, Naive Bayes, and Logistic Regression predict employees who will leave the organization. Our data consists of different indicator values and some other important features such as number of projects, supervisor evaluation score and experience. We show that J48 perform well with accuracy 98.84% and TP rate 0.984%. Conventional statistical analysis has been used in literature to identify important factors affecting employees satisfaction but there is not agreed set. We also apply data mining techniques to identify such factors using two approaches such as Bayesian Network and IR. Finally, we provide a decision tree based model for decision makers that can easily stimulate employees satisfaction level for better retention policy.
Comparison of Hand Gesture Classification from Surface Electromyography Signal between Artificial Neural Network and Principal Component Analysis

The goal of this research is to detect Surface Electromyography (SEMG) signal froma person’s arm using Myo Armband and classify his / her performed finger ges-tures based onthe corresponding signal. Artificial Neural Network (based on the machine learning approach)and Principal Component Analysis (based on the feature extraction approach) with and withoutFast Fourier Transform (FFT) were selected as the methods utilized in this research. Analysisresults show that ANN has achieved 62.14% gesture classifying accuracy, while PCA withoutFFT has achieved 30.43% and PCA without FFT has achieved 48.15% accuracy. The threeclassifiers are tested using SEMG data from a set of six recorded custom gestures. Thecomparison results show that the ANN classifier shows higher classifying accuracy and morerobust rather than the PCA classifier’s classi-fying accuracy. Therefore, ANN classifier is moresuited to be implemented in classifying SEMG signals as hand gestures.
A Survey of suboptimal polygonal approximation methods 

Polygonal approximation detects a set of feature points on the boundary of a shape that constitute the vertices of the shape. In particular, shape representation by polygonal approximation has become a popular technique due to its easiness, locality and compression. This paper presents a survey of methods that detects a set of dominant points that constitute the boundary of a 2D digital planar curve with an iterative procedure and a comparison of the polygonal approximation algorithms on various shapes with varying number of dominant points is made along with the demerits of each of the techniques
“Cinema Delimina”

This chapter converges on the sound-in-film/sound-on-film dichotomy, when Cage revised his aesthetic stance on multimedia sound-system assemblages in the 1960s. Framed around a conference panel in 1967 at the University of Cincinnati, <italic>Cinema Now</italic>, in which Cage discussed the current state of Underground Cinema in the United States, this chapter outlines Cage’s interaction with the “two Stans,” Stan Brakhage and Stan VanDerBeek, culminating in a detailed critique of Cage’s 1965 immersive interactive multimedia work, <italic>Variations V</italic>. The chapter begins with a detailed reading of the fundamental tenets of Cage’s negative aesthetic set forth in his seminal publication, <italic>Silence</italic> (1961), exploring its implications for multimedia and intermedia theories in the 1960s. Two competing poles of interpretation of Cage’s theories surrounding chance and indeterminacy emerged from the first post-Cage generation. The first sought out a reduction of the artwork to its base materials in an act of contraction, whereas the second reached for the opposite, a total expansion of individual medium-specific artworks in a monumental <italic>Gesamtkunstwerk</italic>, epitomized by Stan VanDerBeek’s theories of expanded cinema and intermedia.
Cooperative Dynamic Domain Reduction

Unmanned vehicles (UxVs) are increasingly deployed in a wide range of challenging scenarios, including disaster response, surveillance, and search and rescue. This paper is motivated by scenarios where a heterogeneous swarm of UxVs is tasked with completing a variety of different objectives that possibly require cooperation from vehicles of varying capabilities. Our goal is to develop an approach that enables vehicles to aid each other in the services of these objectives in a distributed and autonomous fashion. To address this problem, we build on Dynamic domain reduction for multi-agent planning (DDRP), which is a framework that utilizes model-based hierarchical reinforcement learning and spatial state abstractions crafted for robotic planning. Our strategy to tackle the exponential complexity of reasoning over the joint action space of the multi-agent system is to have agents reason over single-agent trajectories, evaluate the result as a function of the cooperative objectives that can be completed, and use simulated annealing to refine the search for the best set of joint trajectories. The resulting algorithm is termed Cooperative dynamic domain reduction for multi-agent planning (CDDRP). Our analysis characterizes the long-term convergence in probability to the optimal set of trajectories. We provide simulations to estimate the performance of CDDRP in the context of swarm deployment.
The Development of E-Learning using Communicative Competence

The existence of Javanese language in the diversity of languages has the main point in the form of language Unggah-Ungguh.Unggah-Ungguh implies some levels of speech with different functions that can have different impacts on the personality formation, characters, and the learners' characters.The use of information and communication technology in the development of learning media is to increase the learners' interest and speaking skill of Unggah-Ungguh in classroom as well as in community.Communicative competence in the Javanese language learning helps the learners to develop communicative competence and increase awareness toward the values of local wisdom.The values of Javanese local wisdom has contributed greatly to the national cultural heritage.By inspiring and applying the values of Javanese unggah ungguh through learning media and speaking practices, it is expected to improve learners' character and support the creation of a nationality that has strong dignity with its values of language, literature, and noble of culture.
Adaptively Calling Selection Based on Distance Sorting in CoBiDE

Differential Evolution is fit for solving continuous optimization problems. So far, the imbalance between exploration and exploitation in DE runs often leads to the failure to obtain good solutions. In this paper, we propose selection based on distance sorting. In such selection, the individual has the best fitness among parents and offspring is selected firstly. Then, the genotype distance from another individual to it, the distance in their chromosome structure, decides whether the former individual is selected. Under the control of a adaptive scheme proposed by us, we use it replace the original selection of the CoBiDE in runs from time to time. Experimental results show that, for many among the twenty-five CEC 2005 benchmark functions, which have the similar changing trend of diversity and fitness in runs, our adaptive scheme for calling selection based on distance sorting brings improvement on solutions.
A delegation token-based method to authenticate the third party in TLS

Transport layer security is an important security protocol, which is used to protect end-to-end communication. However, limitation occurs when it is applied to content delivery networks, in which the proxy server rather than the origin server provides service to the client. Under such circumstances, the proxy server serves as a third party and the client is not able to authenticate. This paper discusses the authentication problem for the proxy server. Afterwards, a delegation token-based method is proposed to authenticate the proxy server, with multi-level proxy servers being taken into consideration. Furthermore, a client-based cache strategy is employed to improve the proposed method in terms of time consumption. Then the security of the method is also analysed. Experimental results demonstrate the effectiveness of our method. Moreover, with client-based cache strategy, the authentication process can be accomplished much more efficiently, with a 15.63% decrease in terms of connection time.
Private Accountability in the Age of Artificial Intelligence

In this Article, I explore the impending conflict between the protection of civil rights and artificial intelligence (AI). While both areas of law have amassed rich and well-developed areas of scholarly work and doctrinal support, a growing body of scholars are interrogating the intersection between them. This Article argues that the issues surrounding algorithmic accountability demonstrate a deeper, more structural tension within a new generation of disputes regarding law and technology. As I argue, the true promise of AI does not lie in the information we reveal to one another, but rather in the questions it raises about the interaction of technology, property, and civil rights. For this reason, I argue that we are looking in the wrong place if we look only to the state to address issues of algorithmic accountability. Instead, we must turn to other ways to ensure more transparency and accountability that stem from private industry, rather than public regulation. The issue of algorithmic bias represents a crucial new world of civil rights concerns, one that is distinct in nature from the ones that preceded it. Since we are in a world where the activities of private corporations, rather than the state, are raising concerns about privacy, due process, and discrimination, we must focus on the role of private corporations in addressing the issue. Towards this end, I discuss a variety of tools to help eliminate the opacity of AI, including codes of conduct, impact statements, and whistleblower protection, which I argue carries the potential to encourage greater endogeneity in civil rights enforcement. Ultimately, by examining the relationship between private industry and civil rights, we can perhaps develop a new generation of forms of accountability in the process.
Searching BN Curves for SM9

In 2016, State Cryptography Administration of China published Identity-based cryptographic algorithm SM9. A 256-bit BN curve recommended to construct system parameters in SM9 documents once was convinced to provide 128-bit security level. With the development of number field sieve, the complexity of discrete logarithm problem (DLP) in a finite field reduces, so does the security level of SM9 whose security is based on the difficulty of solving the DLPs. It’s urgent to construct SM9 system parameters with higher security level. In this paper, we analyze the requirements of secure elliptic curves, search BN curves at length of 384-bit and 380–382-bit that show the best computation efficiency. Then we choose a 384-bit BN curve to construct the system parameters, making preparation for upgrading the original 256-bit SM9.
Leadership Styles in Physical Education: A Practical Application

There are two major dimensions of leadership, transformational and transactional. The objective of this paper was to find out the relationship between leadership styles of physical education teachers. The transformational leadership style involves talking to a team of employees about needed actions and decisions and encouraging team members to get involved in this process (Kim, 2002; Choi, Kihwan, & Kang, 2017). Transformational leaders have the self-confidence and a personal sense of security to make them great leaders for future jobs. In a group setting, the transformational leadership style provides other members an opportunity to gain acknowledgment and a sense of self-worth (Kim, 2002). Transactional leadership style uses rewards and punishments to supervise and organize their employees and thus promoting compliance at the K-12 work site. Punishments are not always mentioned, but are well understood, and formal systems of discipline are usually in place (Pagewise, 2002). This paper will discuss two leadership styles: transformational and transactional leadership and the paper will suggest that physical education teachers should exhibit a transformational leadership style.
Virtual Reality in Psychiatry

Background:Virtual Reality in the field of medicine is making a considerable progress in psychiatry.Virtual reality exposure therapy (VRET) in particular can serve as a preferable solution for PTSD (Post-Traumatic Stress disorder) patients who avoids or finds retrieving image difficult.Relevant studies were reviewed to identify the pros and cons of virtual reality technology applied to psychiatry and to determine its medical effect. Methods:The application of virtual reality therapy to the field of psychiatry e.g., Panic Disorder (PD), Post-Traumatic Stress disorder(PTSD), Mild Cognitive Impairment(MCI), and Attention Deficit Hyperactivity Disorder(ADHD) and the strengths and weaknesses of VR therapy were investigated. Results:VRET can serve as a preferable alternative to PTSD patients and can be more economical than actual exposure therapy as it is accessible, convenient and reproducible.However, the VRET can cause vertigo, nausea, vomiting, and reduced awareness, and there is a concern of abuse by uncertified practitioners.For PTSD, according to the systematic review of VRET, the dropout rates of VRET is not higher than conventional exposure therapy, also 7 of 10 studies, the VRET is effective to PTSD patients, their effects were not different with conventional therapy as well.The important thing of VRET is that design contents scenario and establishing each hierarchy.For panic disorder, in respect with effectiveness, VR therapy compares favorably with conventional therapy.Conventional therapy versus VR therapy, it is revealed that similar therapy efficacy in exposure therapy, Interceptive exposure therapy, cognitive behavioral therapy.VR therapy is comparable to the conventional therapy in terms of efficacy.Treatments that had comparable clinical effect with the conventional VR therapy were exposure therapy, interoceptive exposure therapy, and cognitive behavior therapy.For MCI, studies using VR to cognitive training treats general cognitive function, such as frontal function, memory, spatial navigation and so on.For ADHD, researchers and clinicians may expect lower dropout rates in treatment and positive results in cognitive training. Conclusion:VR therapy was not inferior to conventional therapy in its application to psychiatry regarding PTSD, ADHD etc., and holds high potential as it enables convenient use of situations that cannot be easily reproduced in real life.However, technical support and effort are necessary to prevent its side effects including vertigo, reduced awareness and nausea.