Reviewerly/exHarmony huggingface dataset:
Improvising with electronics; encouraging classical guitarists to reframe and explore the natural sound of the guitar through the use of digital instruments

This paper presents a software environment which encourages classical guitarists to improvise with electronics. The differences between digital and acoustic instruments are considered, together with their contrasting traditions and performance practices. Issues of interface design are presented and factors which may encourage or inhibit classical guitarists from engaging which digital instrument are discussed. Various affordances and constraints which have an impact on engagement are considered. The paper proposes that models which exploit the existing skillsets and performance practices of classical guitarists are most likely to be successful, whereas models which rely too heavily on external controllers and interfaces can discourage engagement and improvisation. Furthermore, digital instruments which process live inputs in real time and which frame the natural sound of the instrument with the electronics can engage both performers and audiences. The nature of improvisation and interactivity when using the classical guitar with electronics is considered. Systems which encourage guitarists to explore the full potential of the instrument by adopting a textural/timbral approach are recommended. Mapping existing playing techniques onto the digital environment is an effective way of manipulating and exploring causal and mimetic relationships. The guitarist interacts with the electronics to enhance, contrast or subvert the acoustic, which acts as a point of familiarity in an electroacoustic soundscape. The paper concludes with a demonstration of the software environment to show improvisation through real time control of the digital instrument using the natural sound of the guitar as both the source material for electronic processing and to control the electronics.
On Hybrid Steering Model depending on Gazing Point using Machine Learning

The analysis and modeling of driving behaviors are important to design a comfortable functions for the driving systems. The estimation method of the steering model using the eye tracking information has been proposed using the heuristic search algorithm. In this paper, we proposed hybrid steering model. The system is switching from normal driving into inattentive driving according to the field of vision. Using the gazing point measured by the eye tracking device, the non-linear driver’s steering model that minimizes the error between the vehicle and its model is estimated by Particle Swam Optimization (PSO). However, in case of an inattentive driving, it is necessary to estimate the model robustly in realistic conditions.
ANALISIS DAN PERANCANGAN SISTEM INFORMASI KEUANGAN RETRIBUSI PADA BADAN KEUANGAN DAERAH PROVINSI JAMBI

Regional levies are an important source of regional income to finance the implementation ofgovernmentand regional development and to improve service to the community and regionalindependence, that in theframework of implementing regional levies collection techniques needto be regulated as a guideline forcollection agencies in accordance with their duties. Retributionthat is currently running at the JambiProvincial Finance Agency which while in the process ofretribution revenue is still manuallyexperiencing several obstacles such as inaccurate datareported that must wait for all the OPDs of JambiProvince to take a long time which causesdelays to the Regional Finance Agency Jambi Province incalculating the results of the Jambiprovincial retribution income ... to resolve constraints is a system thatis capable of processingdata. Here the author designed a new financial information system for levies,while theinformation recommended for Jambi provincial financial institutions consists of admintables,Retribution Tables, Tourist Tables, Tourist Officer Tables, Visitor Tables, Visit Tables
Anomaly detection on in-home activities data based on time interval

&lt;span&gt;The world population of the elderly is expected to have a continuous growth and the number of elderly living in solitude is also expected to increase in the coming years. As our health decline with age, early detection of possible deterioration in health becomes important. Behavioral changes in in-home activities can be used as an indicator of health decline. For example, changes in routine of in-home activities. Past research mainly focused on detecting anomalies in routine of each type of in-home activities individually. In this paper, an anomaly detection model to detect changes in routine of in-home activities collectively for a day is proposed. The experiment was evaluated with an existing public dataset. The experimental results demonstrated that the anomaly detection model performed well on unseen testing data with an accuracy of 94.44%.&lt;/span&gt;
PENGEMBANGAN DESAIN MEDIA PEMBELAJARAN SEJARAH MOVIE MAKER BERBASIS VISUALISASI SITUS MEGALITIK PUGUNG RAHARJO LAMPUNG TIMUR

The purpose of this research is to get Movie Maker learning media which can give detailed information about local history material of Megalithic Sites of Pugung Raharjo and also aim to strengthen awareness of local history of class X SMA N 1 Seputih Banyak. This type of research is the development of Level 1 which where in the preparation of this medium with the development method Sugiyono level 1 which only test the feasibility of the product with internal validating stage by the team of experts not to the stage of testing the students, with the preparation must also be adjusted with the analysis KI, KD and the subject matter, after the drafting process is completed then the next stage can be validated internally by a team of material and media experts.Based on the results of research, has obtained media-based visualization of Megalithic sites Pugung Raharjo which has been through the validation phase, validation is a media feasibility test developed, validation is through two stages of stage 1 and 2, which of course there are suggestions and comments for to revise the product again until it reaches the criteria worth at least score 81 and from the data obtained on the validation of material and media experts there score in stages 1 and 2, in stage 1 the material gets a percentage of 81.07% and in stage 2 with the value percentage of 92.84%.While the validation of media experts on stage 1 mstapat value of 84.69% percentage and in stage 2 got a percentage of 90.85%. From the data it can be concluded that the Movie Maker Media of Megalithic Sites Pugung Raharjo has been declared feasible and can be used to reinforce awareness of local history in students and become one of the effective and efficient media.
The NetCAT Program on Testing

The Apache NetBeans IDE Community Acceptance Testing (NetCAT) program ( ) seeks to get early feedback on the main features and confirmation from the NetBeans community that the quality of the product makes it ready for the official release.
Advanced Concepts of Watson Agent

You have learned how to create a simple but useful chatbot. This chapter covers advanced topics, such as contextual entities, context variables, slots, and digressions, and how to handle multiple intents. These advanced features of the IBM Watson platform help solve complex use cases and create advanced workflows.
Worst-Case Polynomial-Time Exact MAP Inference on Discrete Models with Global Dependencies.

Considering the worst-case scenario, junction tree algorithm remains the most efficient and general solution for exact MAP inference on discrete graphical models. Unfortunately, its main tractability assumption requires the treewidth of a corresponding MRF to be bounded strongly limiting the range of admissible applications. In fact, many practical problems in the area of structured prediction require modelling of global dependencies by either directly introducing global factors or enforcing global constraints on the prediction variables. This, however, always results in a fully-connected graph making exact inference by means of this algorithm intractable. Nevertheless, depending on the structure of the global factors, we can further relax the conditions for an efficient inference. In this paper we reformulate the work in [1] and present a better way to establish the theory also extending the set of handleable problem instances for free - since it requires only a simple modification of the originally presented algorithm. To demonstrate that this extension is not of a purely theoretical interest we identify one further use case in the context of generalisation bounds for structured learning which cannot be handled by the previous formulation. Finally, we accordingly adjust the theoretical guarantees that the modified algorithm always finds an optimal solution in polynomial time.
Problems in Teaching Reading Skill at Intermediate level at UP Madrasas

Although English as an international language has spread its roots throughout the globe and is frequently and widely used for a variety of purposes such as trades, socio political affairs, educational and religious concerns, but a large population of non-native countries are facing the problem of communication because of lack of proficiency in English, leaving them distant from each other in many ways. The situation becomes worse when this gap is extensively found intra nationally, making its people handicapped. English in India, a country of diverse languages, deserves more attention to be taught and learnt in order to bridge the communication gap within the country.
Investigating the Effects of Cyber Fraud on Customer Trust for Online Shopping: The Ghanaian Setting

Cyber fraud has become a stumbling block in the development of many countries especially in the developing world as billions of dollars continues to be lost.It's prevalence in the west African sub-region has stifled the efforts made by governments to bridge the technology gap between nations like Ghana and the west.Online shopping which is a convenient advancement in technology and relatively famous form of transaction in the west requires a considerable level of trust between the customer and the service provider.With the consumer culture theory (CCT) and model of integrative trust as theoretical foundations, this paper adopts a comprehensive twoway generic inductive approach to gather relevant data for analysis to unravel the effects of cyber fraud on the Ghanaian consumers' trust for online shopping.The methodology encapsulates a systematic and rigorous literature review and documented cases of cyber fraud in Ghana.Results intimated that cyber fraud is a major cause of financial lose in Ghana and has to a large extent affected the Ghanaian consumers' trust for online shopping and E-transactions in general as only 39% of the populace are revealed to buy online.Poor information technology infrastructure, growth of IT users, and a lack of regulation and training law enforcements were also found to be the underlying causes of why it is challenging to secure information online and hence the lack of trust.
Developing the temporal composite of Sentinel-1 SAR data to identify paddy field area in Subang, West Java

Accurate information of actual paddy field area is very importance for food security to support decision making. Remote sensing data is a use-full tools to detect and to create the paddy field area information, because of spatial and temporal characteristics. It is challenging in using the time series single polarization Synthetic Aperture Radar (SAR) data to detect such information. This research used the Sentinel-1 VH polarization and GRD level in Subang district of West Java in 2018 with 12-days temporal interval, around 30 temporal data were used. The remote sensing image pre-processing steps were applied in every single data such as geometric correction, backscattered calculation, topographic flattening, and lee filtering. The ready data was in 30x30 meter pixel resolution then be filtered by temporal filter using median moving window. Then, it was transformed using phenological approach by temporal transformation. The are several RGB composite products were compared and analyzed by using paddy field map from Ministry of Agriculture as reference data. The results show that the best RGB composite for detecting paddy field area is the RGB temporal combination of minimum backscatter Jan-June as Red layer, minimum backscatter July-December as Green layer, and maximum backscatter Jan-December as Blue layer. The blue color indicates the paddy field, it means that during Jan-June and July-Dec the area was inundated, and during a year there was vegetation covering the area.
ROBUST HUMAN MOTION RECOGNITION FROM DISTORTED WIDE-ANGLE IMAGES FOR VIDEO SURVEILLANCE

Installation of surveillance cameras in nuclear power plants (NPP) is critical to protect the facilities against terrorist attacks, bombings, or sabotage. This has led to the generation of huge amounts of surveillance video data, giving rise to a demand for a technique that can automatically detect anomalies or suspicious movements. Tracking human motion from video sequences is a notable technique used for detecting anromalies in human behaviour. Motion-capture devices recognize human motion using a depth camera. However, the use of a depth camera incurs a problem in that a complicated camera system is required, and the angle of view is limited. To overcome this problem, there is a need for a means of recognizing human motion in wide-angle images. In this study, we devised a method for tracking human motion that is robust to wide-angle image distortion. The main contribution of this study is a methodology that automatically estimates the transformation parameters needed to improve the accuracy of motion recognition; these parameters are applied to a distorted wide-angle image in every frame. We propose a new multi-layered convolutional neural architecture for estimating the locations of human joints in images and transformation parameters simultaneously. The robustness of our method when applied to distorted wide-angle images is demonstrated through a quantitative evaluation of human joint prediction. In addition, we compare our method with a motion tracking system and an infrared-camera-based motion capture system to demonstrate its ability to handle wide-angle and close-range images.
Le nuove prove di Italiano negli esami di I e II ciclo

In 2018 and 2019 the Italian Ministry of Education (MIUR) introduced new writing examinations at the end of lower and upper secondary school that have a strong coherence, as they follow indications of the same work group. These tests derive from an idea of continuity between different school cycles. They demand a vertical programming from teachers which, with appropriate resuming, should guarantee pupils the fluency in Italian needed for the exercise of full and informed citizenship.
The preemptive resource allocation problem

We revisit a classical scheduling model to incorporate modern trends in data center networks and cloud services. Addressing some key challenges in the allocation of shared resources to user requests (jobs) in such settings, we consider the following variants of the classic resource allocation problem (RAP). The input to our problems is a set J of jobs and a set M of homogeneous hosts, each has an available amount of some resource. A job is associated with a release time, a due date, a weight and a given length, as well as its resource requirement. A feasible schedule is an allocation of the resource to a subset of the jobs, satisfying the job release times/due dates as well as the resource constraints. A crucial distinction between classic RAP and our problems is that we allow preemption and migration of jobs, motivated by virtualization techniques. We consider two natural objectives: throughput maximization (MaxT), which seeks a maximum weight subset of the jobs that can be feasibly scheduled on the hosts in M, and resource minimization (MinR), that is finding the minimum number of (homogeneous) hosts needed to feasibly schedule all jobs. Both problems are known to be NP-hard. We first present an Omega(1)-approximation algorithm for MaxT instances where time-windows form a laminar family of intervals. We then extend the algorithm to handle instances with arbitrary time-windows, assuming there is sufficient slack for each job to be completed. For MinR we study a more general setting with d resources and derive an O(log d)-approximation for any fixed d >= 1, under the assumption that time-windows are not too small. This assumption can be removed leading to a slightly worse ratio of O(log d log^* T), where T is the maximum due date of any job.
Традиційна і електронна книга крізь призму проблеми популяризації книги й читання

The purpose of the article is to determine the place of traditional and electronic books inthe process of books and reading promotion. The main methodological principles have been theprinciples of analysis and synthesis, which made it possible to determine the significance andplace of the reading culture as one of the components of the information culture of the society,realizing the need to create conditions for reviving interest in reading and increasing its prestige.A statistical method has been applied to identify the significance of printed, electronic and audiobooks among other forms of leisure. The scientific novelty lies in the analysis of the synthesisof traditional and new forms of books to ensure the spread of text communication. Conclusions.Thus, traditional and electronic books, while remaining the same source of knowledge, have bothadvantages and disadvantages. In particular, a traditional book can be perceived as a work of artfor aesthetic pleasure, collecting, have exclusivity and the ability to get the signature of the author,and also be used without technical devices. While the electronic text is not felt, but is exclusivelyvisual. However, the electronic book also has a number of advantages associated with the creationof new information resources, accelerates communication processes and allows you to organizeprocesses of production, storage and dissemination of information at a qualitatively new level. Inaddition, thanks to technologies such as animation, compactness, multidimensionality of informationtransmission, emotional impact on the reader’s perception, reduction of publication costs, authors’ability to post material without involving publishers and, finally, environmental friendliness (helpsprevent deforestation), an interactive book can compete successfully with Internet resources andtelevision, to engage children and youth in active and developing reading. It remains indisputablethat both traditional and electronic books have cognitive, educational and developmental functions,using modern multimedia tools to disseminate their own preferences. Therefore, you should notconsider traditional and electronic books as competitors, on the contrary, you should understandthat all forms of a book have a common goal – the dissemination and improvement of the readingculture. So, society should tune in to the synthesis of a traditional and new way and form of spreadingtext communication. At the same time, the global trend indicates a decrease in interest in readingand a decrease in the share of actively reading population, which we consider a threat to the futureof the country, because the deficit of knowledge and constructive ideas is growing. Therefore, it isnecessary to create conditions for the revival of interest in reading, improving the quality and varietyof read literature in all areas of knowledge, exchange of opinions about what has been read, andincreasing the prestige of reading as a cultural value.
Application of 2-D fractal dimension in content based video summarization

In this paper, a novel method for video content summarization has been proposed by calculating the fractal dimension of frames. Summarization of the video is the first step in automatic video analysis. In this paper, we use the support vector machine (SVM) and the decision - tree to identify the shot boundary and classify them. In order to compute the fractal dimension, the numerical method has been expressed. The results of this implementation were also reported on TRECVID 2006 data collection. The results show that the relative advantage of the method presented in this paper is compared to other articles.
Hierarchical Reinforcement Learning using Fractal Reservoir Computing for Quadrupedal Robot

Catastrophic forgetting is one of the most challenging problems of (deep) neural networks, but autonomous robots, which would acquire many tasks in real life sequentially, require to resolve or mitigate it. Modular networks are expected to mitigate this problem since it can exploit different modules for respective tasks. However, this approach would waste the learnable parameters due to duplication of common tasks in given tasks. Furthermore, if given tasks, e.g., locomotion control of legged robots, are with high state-action spaces and are difficult to be learned, exploration is required for a long time, which causes the catastrophic forgetting. Hence, this paper proposes the way to divide the locomotion control tasks modularly and hierarchically. To this end, fractality of fractal reservoir computing is utilized so as to transfer the learned knowledge of one leg control to the other legs control.
Development of a Watermark Embedding Algorithm within Digital Images in Frequency Domain using Ant colony Algorithm

In this paper, an algorithm of watermark embedding within digital cover images was developed, in order to guarantee the copyright of digital images. The proposed algorithm depends transform the image to frequency domain, and ant colony algorithm to determine the optimal blocks to execute the embedding process. Many factors affects the achievement of watermark requirement, the most important factors are embedding domain, embedding method, coefficient used for embedding and blocks locations where The optimal location of them, that varies depending on the nature of the image and the attacks. First, we divided the cover image into 8*8 blocks and calculating standard deviation between their pixels to detect blocks of pixels with strong edges, which is considered the best in the embedding process due to its robustness towards the attacks. Then we used DCT (Discrete cosine transform) on blocks to transfer the original cover image to frequency domain and execute the embedding process relying on the proposed algorithm in two coefficients that belong to the medium frequency of the specific blocks from ants algorithm which provides flexibility in determined the most important blocks in terms of balancing between robust of watermark and transparency of the watermark image. The proposed algorithm provided good results in the watermark robustness and transparency in proportion to the nature of cover image towards various types of image processing.