Reviewerly/exHarmony huggingface dataset:
Kernel k-MACE: hypercube unsupervised clustering method

Transforming data to feature space using a kernel function can result in better expression of its features, resulting in better separability for some datasets. The parameters of the kernel function govern the structure of data in feature space and need to be optimized simultaneously while also estimating the number of clusters in a dataset. The proposed method denoted by kernel k-Minimum Average Central Error (kernel k-MACE), esti- mates the number of clusters in a dataset while simultaneously clustering the dataset in feature space by finding the optimum value of the Gaussian kernel parameter σk. A cluster initialization technique has also been proposed based on an existing method for k-means clustering. Simulations show that for self-generated datasets with Gaus- sian clusters having 10% - 50% overlap and for real benchmark datasets, the proposed method outperforms multiple state-of-the-art unsupervised clustering methods including k-MACE, the clustering scheme that inspired kernel k-MACE.
IDENTIFIKASI SUARA MENGGUNAKAN METODE MEL FREQUENCY CEPSTRUM COEFFICIENTS (MFCC) DAN JARINGAN SYARAF TIRUAN BACKPROPAGATION

The voice is basic humans tool of communications. Speakers identifications is the process of recoqnizing the identity of a speaker by comparing the inputed voice features with all the features of each speaker in the database.There are two step of speaker identification process: feature extraction and pattern recognition. For the characteristic extraction phase using Mel Frequency Cepstrum Coefficient (MFCC) method. The method of pattern recognition using backpropagation artificial neural networks that compares the test data with the reference data in the database based on the variable result in the learning process.&#x0D; The result from the research show that increasing SNR (Signal to Noise Ratio) value will determine the success of the speaker recognition system. The higher SNR (Signal to Noise Ratio), will increase percentage level of recognition. Average accuracy speakers recoqnition of the speakers data without noise generating is 86%, the biggest average accuracy speakers recoqnition is 92 % in the data with 80 dB SNR level, and the lowest average accuracy is 45 % in the data with 80 dB SNR level. Rejection rate testing result of speakers outside the database is 100 %.
Autonomous stereo vision system for depth computation of moving object

This work targets one real world application of stereo vision technology: the computation of the depth information of a moving object in a scene. It uses a stereo camera set that captures the stereoscopic view of the scene. Background subtraction algorithm is used to detect the moving object, supported by the recursive filter of first order as updating method. Mean filter is the pre-processing stage, combined with frame downscaling to reduce the background storage. After thresholding the background subtraction result, the binary image is sent to the software processing unit to compute the centroid of the moving area, and the measured disparity, estimate the disparity by Kalman algorithm, and finally calculate the depth from the estimated disparity. The implementation successfully achieves the objectives of resolution 720p, at 28.68 fps and maximum permissible depth error of ±4 cm (1.066 %) for a depth measuring range from 25 cm to 375 cm.
AN ANALYSIS OF STUDENTS’ ANXIETY AND SELF-EFFICACY IN WRITING AT ENGLISH DEPARTMENT OF HALU OLEO UNIVERSITY

Anxiety is one of students' problems in writing. Students with high anxiety have enormous impact on their writing outcomes. The purpose of this study was to find out the students anxiety in writing and their self-efficacy categories. This study employed survey design. The sample of this study was the students of the fourth semester in writing III course which consisted of 33 students. The data were collected by using close-ended questionnaire and interview guide. The close-ended questionnaire was analyzed by using SPSS 16 version while interview was analyzed descriptively. The result showed that cognitive anxiety was dominant category of writing anxiety and unity was dominant category of writing self-efficacy experienced by the students.Keywords: Students Anxiety, Students Self-Efficacy, Writing Performance.
Towards providing middleware-level proactive resource reorganisation for elastic HPC applications in the cloud

Elasticity is one of the most important features of cloud computing, referring to the ability to add or remove resources according to the needs of the application or service. Particularly for High Performance Computing (HPC), elasticity can provide a better use of resources and also a reduction in the execution time of applications. Today, we observe the emergence of proactive initiatives to handle the elasticity and HPC duet, but they present at least one problem related to the need of a previous user experience, large processing time or completion of parameters. Concerning the aforesaid context, this paper presents ProElastic - a lightweight model that uses proactive elasticity to drive resource reorganisation decisions for HPC applications. Our idea is to explore both performance and adaptivity at middleware level in an effortless way at user perspective. The results showed performance gains and a competitive cost (application time × consumed resources).
Hybrid Model for Load Balancing and Server Consolidation in Cloud

One of the most pressing and critical issues in cloud is Power Optimization.Due to the popularity of cloud, many computing applications are being hosted in the cloud.Naturally, many Cloud Centers (CCs) are experiencing huge power consumption problem, which leads to higher operational cost and environmental hazards due to carbon emissions.The two important concepts used to achieve power optimization are: load balancing and server consolidation.The first concept aims to achieve fair distribution of computing load on different Physical Machine (PM); whereas, the second concept aims to shutdown PMs, which are having limited computational load.One of the most popular techniques to achieve load balancing and server consolidation is Virtual Machine (VM) migration technique; where, the VMs are packed inside limited PMs; such that, load is fairly balanced among PMs, and limited usage PMs are relieved of their computational load and can be shutdown.However, VM migration requires excessive cost, and results in excessive computed task wastage.Hence, in this work, a new hybrid scheme which does not migrate VMs, and migrates only suitable tasks from overloaded VMs and lightly loaded PMs is presented.The proposed hybrid model is compared against contemporary VM migration technique to assess resource usage merits.The proposed hybrid model significantly outperforms the contemporary VM migration techniques in resource usage efficiency.
A Novel Encryption Algorithm for Securing Files in the Cloud using Phony Documents

Organizations have chosen to leverage cloud services due to their simplicity and cost-effectiveness, however, the challenge of securing documents from malicious threats and persistent data breach have driven an increasing use of cryptographic techniques for protecting documents in the cloud. Current cloud encryption schemes fail to provide optimal security as a practical attacker may find the key and subsequently recover the message stored in the cloud by using advanced cryptanalytic tools to brute-force the key. We propose the use of decoys and deception to enhance the security of the cloud using phony documents. Our approach uses the semantics/syntactic structure of natural language to build contextually correct and convincing message content that fools an attacker that tries to brute force an encrypted message. Therefore, a practical attacker that steals a ciphertext cannot find the key, the message or any fragment of the message. Given the consistent ascent in cyber-attacks on cloud servers and infrastructures which have debilitated open and private sectors, our proposed encryption approach cannot be disregarded.
Special issue on architecting for hyper connectivity and hyper virtualization

A number of streaming technologies have appeared in the last years as a result of the rising of Big Data applications. Nowadays, deciding which technology to adopt is not an easy task due not only to the number of available data streaming processing projects, but also because they are continuously evolving. In this paper, we focus on how these issues have affected jMetalSP, a framework for dynamic multi-objective optimization that incorporates streaming features. jMetalSP allows the development of three tier optimization workflows where the central component is an optimizer that is continuously solving a dynamic multi-objective optimization problem. This problem can change as a consequence of the analysis of data streams carried out by components that use the Apache Spark streaming engine. A third kind of components receive and process the Pareto front approximations being yielded by the optimization algorithm. However, all jMetalSP elements are tightly coupled and linked to Spark, making it difficult to use a different streaming system. To overcome this issue, we have redesigned the jMetalSP architecture to make it flexible enough to avoid the dependence of any particular streaming system. This way, popular Apache projects such as Spark Structured Streaming, Kafka Streams, or Flink can be used without requiring to change the rest of components of the application. Furthermore, Kafka can be used for inter-process communication, what enables the execution of components in different nodes of a cluster, independently of their implementation languages thanks to the serialization of data streams with Apache Avro. We show how the embraced solution provides a high degree of flexibility that enhances the usability of jMetalSP. To this end, a representative case study based on a transport problem is conducted that focuses on data representation and performance evaluation of the Spark, Flink, and Kafka systems.
The classification of gesture interactions and the study of their ergonomic effect on hands

In order to investigate gestural behavior during human-computer interactions, an investigation into the designs of current interaction methods is conducted. This information is then compared to current emerging databases to observe if the gesture designs follow guidelines discovered in the above investigation. The comparison will also observe common trends in the currently developed gesture databases such as similar gesture for specific commands. In order to investigate gestural behavior during interactions with computer interfaces, an experiment has been devised to observe and record gestures in use for gesture databases through the use of a hardware sensor device. It was discovered that factors such as opposing adjacent fingers and gestures that simulated object manipulation are factors in user comfort. The results of this study will create guidelines for creating new gestures for hand gesture interfaces.
THE EFFECT OF CHAIN DRILL TECHNIQUE ON STUDENTS’ SPEAKING ACHIEVEMENT AT SMP NEGERI 3 RAHA

This study aims to find out whether there is a significant effect of chain drill technique on the first year of SMP Negeri 3 Raha. The research question formulated “is there any significant effect of chain drill technique on students’ speaking achievement at SMP Negeri 3 Raha?”. The design of study was pre-experimental research design that consisted of one group pre-test and post-test. The population of this study was all students on the first year of SMP Negeri 3 Raha who were registered in academic year 2017/2018. The sample of this study was one class namely VII3 which consisted of 22 students. The instrument of this study was oral test in dialogue based on the cue card about how to greet and respond. The research used Paired Sample T- test to analyze the result of the study of the effect of chain drill technique on students’ speaking achievement after analyzing the normality of the data in the experimental class. The result shows that students’ speaking ability in the post test is 2.806 higher than 1.647 is the post test. The hypothesis testing is found that the level of significant is 0.00, since the level of significance value is less than 0.05, i.e. 0.00&lt;0.05, the null hypothesis (H0) is rejected and H1 is accepted. It means that the use of chain drill technique shows a significant difference on students’ speaking achievement on the first year of SMP Negeri 3 Raha based on the result of the post-test. Keywords: Speaking, Teaching Speaking, Chain Drill Technique
Are gesture interfaces out of touch? Challenges with the adoption of emerging technology

Many studies in the field of human-computer interaction (HCI) point to gesture-based interaction (GBI) as a transformative method for communicating with computers. GBI allows people to use common body language like waving or pointing to manipulate devices without physically touching them. Current research suggests that moving beyond traditional mechanical devices such as a mouse or keyboard may create richer and more ‘natural’ user experiences. Despite this finding, this mode of interaction has not seen broadscale adoption. A critical analysis of the work taking place in both industry and HCI studies demonstrates tension between the theory and practice of creating gesture-centric interfaces. This study provides a critical overview of the issues, technological, design and social, that pose a challenge to the widescale adoption of this technology.
Disparity Map Computation from Stereo Images Using Hill-Climbing Segmentation

Stereo matching is one of the most active research areas in computer vision for decades.The task of stereo matching is to find the point correspondence between two images of the same scene taken from different viewpoints.This paper presents a segment-based stereo matching algorithm.Firstly, the reference image is segmented using hill-climbing algorithm and local stereo matching is performed Scale Invariant Feature Transform (SIFT) feature points with Sum of Absolute Differences (SAD) block matching.Secondly, a set of reliable pixels is constructed by comparing the matching cost and the mutual crosschecking consistent between the left and right initial disparity maps, which can lead to an actual disparity plane.Thirdly, a set of all possible disparity planes are extracted and then plane fitting and neighboring segment merging are performed.Finally, the disparity planes are set in each region using graph cuts to obtain final disparity map.The evaluation of proposed algorithm on the Middlebury data set result shows that the proposed algorithm is competitive with state-of-the-art stereo matching algorithms.
Web View-Based E-Time Applications for Communities (Case Study : Polresta Bogor Kota)

In the web view e-ticket application for the violating community, you can see the ticket form and then make a payment via transfer in accordance with the penalty imposed.Then the violator can take the evidence by showing the proof of payment.With the method of developing the System Development Life Cycle (SDLC) and applications can be accessed on computers or on smartphones by the public.The main purpose of this e-ticket application system is to make it useful for the community to complete the ticketing process and law enforcement or traffic police to be able to enforcethe law and reduce paper use.
The Role of Primary School Teachers in Developing Students’ Emotional Intelligence

The aim of the study was to illustrate the theoretical aspects of developing students’ emotional intelligence by primary school teachers. D. Goleman defines emotional intelligence mainly as an ability to recognise and cope properly with our own emotions. Nowadays, the development of ability to control somebody’s emotions is one of the main challenges of modern teachers which is the main purpose of undertaking the topic.
Study on Identification of Lexical Meaning in E-C Translation of English for Electric Power

As one of the branch of English for Science and Technology, English for Electric Power bears the characteristic of professionalism in meaning and flexible in lexis. As key components in professional literatures, lexis of English for Electric Power needs to be paid enough attention and accurately identified in order to precisely comprehend professional reading materials. This paper focuses on solving the problem of identifying Electric English vocabulary precisely by analyzing the determination of the professional lexis from three aspects of morphological structure, reference relations and context. Distinguishing the meaning of Electric Power English vocabulary is a crucial part in the translation practice of Electric Power English, which plays a vital role in ultimately understand and grasp the content of professional materials fully.
Croatian parliamentary corpus ParlaMeter-hr 1.0

The ParlaMeter-hr corpus contains minutes of the National Assembly of the Republic of Croatia and currently covers its VIth mandate (2016-11-15 - 2018-11-21). The corpus contains speaker metadata (gender, age, education, party affiliation), while the transcriptions of their speeches are MSD tagged, lemmatised, and marked with named entities.
Identifying e-books authored by faculty: a method for scoping the digital collection and curating a list

Electronic books are a substantial component of many academic libraries. Many libraries aim to make their collections easily discoverable through curated lists. The authors' library devised a methodology to identify and flag all e-books authored by our institution's faculty using MARCEdit and Microsoft Access. We highlight some of the challenges in gathering a comprehensive list of titles, the process of formulating such a list, and the measures needed to actively curate e-books by faculty for both content already in the collection and newly published titles.
The development of Virtual Javanese Gamelan to improve Gamelan learning achievement

This study aims to develop innovative, effective and practical learning media to improve learning achievement of students in memorizing and recognizing the basic instruments of gamelan. The background of this study is that there are still many elementary school (SD) and Islamic elementary school (MI) students who do not know the basic instruments of gamelan, which hinder the achievement of Javanese language competencies. This method of developing learning media uses research and development method steps. Dissemination is carried out at the Central Java Center of Education Information and Communication Technology Development (BPTIKP) for the implementation toward more targeted users. The results of the study show that they have succeeded in developing the Virtual Virtual Javanese Gamelan in which the students can use to play while learning. The learning results show a significant increase in learning achievement, in the initial conditions without using Virtual Javanese Gamelan, from 18 students, only 5 students (27.8%) have completed the learning with an average score of 66. While the learning results obtained after using the Mutimedia Virtual Javanese Gamelan, the completion reaches 18 students (100%) with an average score of 90. So it can be concluded that Virtual Javanese Gamelan multimedia can improve the learning achievement of the second graders at MI Miftahul Huda 01.
CONTEXT AWARENESS FRAMEWORK FOR DEVELOPING MOBILE APPLICATIONS: A SURVEY OF SELECTED SMALL AND MEDIUM ENTERPRISES IN NAKURU TOWN, KENYA

Mobile applications act as valuable tools that can be used by entrepreneurs and small and medium enterprises (SMEs) alike to market their products/services and considerably reduce costs of doing business. The government of Kenya has invested billions of shillings in laying of fiber optic cables in Kenya, improving Kenya‘s ICT sector and coming up with projects aimed at promoting the use of technology among businesses and citizens alike. With all of these investments, there are challenges that hinder the use of business mobile applications by SMEs. Although context awareness in mobile applications is gaining recognition among mobile user and developer communities, many design scenarios still do not incorporate required context awareness as one of their primary goals. Although there are strong context awareness frameworks for mobile applications, there is still potential to improve the usability of virtual learning systems. The study established that the concept of context independence including the physical context independence and the logical context independence from the applications and mobile devices provides a graceful solution in the form of a methodological framework for the development of context-aware systems for SMEs in Nakuru Town.
Ubiquitous and Context-Aware Computing Modelling: Study of Devices Integration in Their Environment

In an almost imperceptible way, ubiquitous and context-aware computing make part of our everyday lives, as the world has developed in an interconnected way between humans and technological devices. This interconnectedness raises the need to integrate humans’ interaction with the different devices they use in different social contexts and environments. In the proposed research, it is suggested the development of new scenario building based on a current ubiquitous computing model dedicated to the environment context-awareness. We will also follow previous research made on the formal structure computation model based on social paradigm theory, dedicated to embed devices into different context environments with social roles. Furthermore, several socially relevant context scenarios are to be identified and studied. Once identified, we gather and document the requirements that devices should have, according to the model, in order to achieve a correct integration in their contextual environment.
Editorial Message From the Incoming Editor-in-Chief

Let me begin by highlighting the tremendous work of the previous Editors-in-Chief: Prof. W. J. Emery, Prof. P. Gamba, and Prof. A. C. Frery in establishing IEEE Geoscience and Remote Sensing Letters (GRSL) as one of the premier journals for short papers. The journal publishes new ideas, results, and formative concepts in remote sensing.
Analysis of the state of learning to communicate in educational institutions of the Ministry of Internal Affairs of Russia

Training as a component of training specialists forms an important area of human activity, gradually transforming with the development of the real process of people's life. The training of qualified specialists, adapted to the specifics of the work of the internal affairs bodies and having a legal culture, high communicative skills is carried out in the departmental system of vocational education. Learning to communicate cadets and trainees in specialized educational institutions of the Ministry of Internal Affairs of Russia at the present time can increase the professionalism of an employee of the internal affairs agencies and the effectiveness of his work.