Reviewerly/exHarmony huggingface dataset:
<i>Bits and Pieces: A History of Chiptunes</i>, by Kenneth B. McAlpine

Book Review| January 01 2020 Bits and Pieces: A History of Chiptunes, by Kenneth B. McAlpine Bits and Pieces: A History of Chiptunes, by Kenneth B.McAlpine. Oxford University Press, 2019, 320 pp, $35.00. Peter Smucker Peter Smucker Search for other works by this author on: This Site PubMed Google Scholar Journal of Sound and Music in Games (2020) 1 (1): 119–123. https://doi.org/10.1525/jsmg.2020.1.1.119 Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Twitter LinkedIn Tools Icon Tools Get Permissions Cite Icon Cite Search Site Citation Peter Smucker; Bits and Pieces: A History of Chiptunes, by Kenneth B. McAlpine. Journal of Sound and Music in Games 1 January 2020; 1 (1): 119–123. doi: https://doi.org/10.1525/jsmg.2020.1.1.119 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentJournal of Sound and Music in Games Search Keywords: Chiptune, chipmusic, chips, history, Korg, Nintendo, Atari, Spectrum, Commodore, trackers In the summer of 2019, the musical instrument company Korg released an updated version of its Gadget application for the Nintendo Switch, which includes sound samples from the Sega Genesis/Mega Drive and Taito's arcade synthesizer. The brief announcement on the technology blog Engadget notes that the cost of the app would “be a small price to pay if you want to create chiptune-like compositions without resorting to exotic hardware.”1 Around the same time, a portable playback device was released—the MegaGRRL—that allows users to play old Sega Genesis soundtracks. The primary difference is that the latter boasts the YM2612, the exact sound chip used in the original Genesis console. But whether used for musical creation or simple playback, who cares if the sounds come from emulation or the actual original hardware? To some, it matters a great deal. To understand why, we can turn to Kenneth McAlpine's Bits and... You do not currently have access to this content.
LibGuides: CSU Library Updates for Spring 2020: FAQ

Everything you need to know about CSU Libraries for Spring 2020 Got Questions? We have answers.
The Future of Medical Visualisation

In this talk I will discuss the future of medical visualisation. New visualisation tools and software permits us to significantly improve our understanding of complex human anatomy.
Research on Chinese Text Error Correction Based on Sequence Model

When users input text, it will inevitably produce errors, and with the rapid development and popularization of smart devices, the situation becomes more and more serious. Therefore, text correction has become one of the important research directions in the field of natural language processing. As the grammatical error correction task, in this paper, the error correction process of Chinese text is regarded as the conversion process from wrong sentence to correct sentence. In order to adapt to this task, the (sequence-to-sequence) Seq2Seq model is introduced. The wrong sentence is used as the source sentence, and the correct sentence is used as the target sentence. Supervised training is carried out in units of characters and words. It can be used for correcting errors such as word of homophone, homotype, and near-sound, greatly reducing the artificial participation and expert support of feature extraction, improve model accuracy on specific errors. In order to solve the information loss caused by the conversion of long sequence to fixed length vector, the attention mechanism is introduced into the basic model. After adding the attention mechanism, the model’s accuracy, recall rate and F1 value have been effectively improved.
Random Diffusion Representations

The diffusion maps is a kernel based method for manifold learning and data analysis that models a Markovian process over data. Analysis of this process provides meaningful information about the inner geometric structures in the data.In this paper, we present a representation framework for analyzing datasets. This framework is based on a random approximation of the diffusion maps kernel. The resulted representation approximate the pair-wise diffusion distance, does not depend on the data size and it is invariant to scale.
Modifying the learning process of the Expert Iteration algorithm

This thesis sets out to improve the performance of the Expert Iteration (EXIT) algorithm a simulation-based learning process to train an AI. EXIT and four different modifications are implemented an ...
A STUDY PAPER ON STEGANOGRAPHY

Steganography is a workmanship for concealing the mystery data inside other data which are carefully spread. The meaning of steganography can likewise be given as investigation of inconspicuous correspondence that typically manages presence of conveyed message. The concealed message can be content, sound, picture or video in like manner to that it tends to be spread from either picture or video. In steganography, concealing data accomplished to embed a message into spread picture which creates a stego picture.
Detection of textual and faces for images with clustering and duplicates.

As cameras integrated with the mobile phones the image files are growing exponentially and there is a need of proper management of them. This can be effectively done by using various image-processing techniques. The existing system does the management of images for their account holders by providing feature like face clustering where the clusters are made for each individuals. These accounts can be logged into N number of devices and sometimes people forget logging off. The unknown user of the device can get access to the account. The paper does the management of images on offline and also provides features like face clustering, Duplicate or near-duplicate image detection and identification of textual images.
Fault diagnosis of wind turbine based on H-SKDB model

The wind farm is in a bad wind area, which causes wind turbine faults to occur. Fault diagnosis of wind turbines is helpful for the maintenance and operation of wind turbines. The SKDB (Extensible Bayesian Network) model has the characteristics of high fault diagnosis accuracy and short training time. Based on the SKDB model, the Bayesian network structure is constructed by the method of mutual information addition calculation, then a fault diagnosis model of wind turbine based on H-SKDB is proposed, which realizes the fault diagnosis of wind turbine equipment information status. The experimental results show that the fault diagnosis method has higher calculation accuracy and shorter calculation time.
LibGuides: Remote Library Services: Frequently Asked Questions

When you need or prefer to work remotely, there are many ways the Libraries can provide you with expert help and services. Always check the Libraries’ website for the latest information about our hours and services.
Exploring the Modeling Method of Flight Test Maturity Model

This paper presents an evaluation modeling ideas and methods of testing maturity model. It aims to explore the way to change the current situation of the lack of scientific methods and evaluation tools in the decision-making process of the development and flight test of new aircraft through model design and element analysis. At the same time, it promotes the safety control level of flight test and the success rate of the flight test mission.
Author’s reply to Reid

I agree that writing plain English is a skill that needs to be taught and practised.12 The research done by Sara Wilcox and the team at NHS Digital into the language used on the NHS website should be replicated to inform …
On-demand Forensic Video Analytics for Large-Scale Surveillance Systems

This work presents FOVEA, an add-on suite of analytic tools for the forensic review of video in large-scale surveillance systems. While significant investment has been made toward improving camera coverage and quality, the burden on video operators for reviewing and extracting useful information from the video has only increased. Daily investigation tasks (such as searching through video, investigating abandoned objects, or piecing together information from multiple cameras) still require a significant amount of manual review by video operators. In contrast to other tools which require exporting video data or otherwise curating the video collection before analysis, FOVEA is designed to integrate with existing surveillance systems. Tools can be applied to any video stream in an on-demand fashion without additional hardware. This paper details the technical approach, underlying algorithms, and effects on video operator performance.
2DBSCAN with Local Outlier Detection

This research is related to designing a new algorithm which is based on the existing DBSCAN algorithm to improve the quality of clustering. DBSCAN algorithm categorizes each data object as either a core point, a border point or a noise point. These points are classified based on the density determined by the input parameters. However, in DBSCAN algorithm, a border point is designated the same cluster as its core point. This leads to a disadvantage of DBSCAN algorithm which is popularly known as the problem of transitivity. The proposed algorithmーtwo DBSCAN with local outlier detection (2DBSCAN-LOD), tries to address this problem. Average silhouette width score is used here to compare the quality of clusters formed by both algorithms. By testing 2DBSCAN-LOD on different artificial datasets, it is found that the average silhouette width score of clusters formed by DBSCAN-LOD is higher than that of the clusters formed by DBSCAN.
RANCANGAN PENAMBAHAN FITUR E-VOTING PADA WEBSITE TVRI SUMATERA BARAT

E-voting feature that refers to the use of information technology in the voting. In today's development the use of electronic devices to vote can be an option because it has combined (convergence) computer devices and internet networks in a single device. Some TVRI programs in West Sumatra require voting as a medium of interaction with the community. As in the festival program, which requires votes or points from the community. Online polling or voting is mostly used to determine people's choice of a trend or a vote on the web. It is intended that a website can interact directly with the public in making an election. For making the design of this e-voting feature, MySql is used to create databases and store data, PHP is the programming language
Local Local Reasoning: A BI-Hyperdoctrine for Full Ground Store

Modelling and reasoning about dynamic memory allocation is one of the well-established strands of theoretical computer science, which is particularly well-known as a source of notorious challenges in semantics, reasoning, and proof theory. We capitalize on recent progress on categorical semantics of full ground store, in terms of a full ground store monad, to build a corresponding semantics of a higher order logic over the corresponding programs. Our main result is a construction of an (intuitionistic) BI-hyperdoctrine, which is arguably the semantic core of higher order logic over local store. Although we have made an extensive use of the existing generic tools, certain principled changes had to be made to enable the desired construction: while the original monad works over total heaps (to disable dangling pointers), our version involves partial heaps (heaplets) to enable compositional reasoning using separating conjunction. Another remarkable feature of our construction is that, in contrast to the existing generic approaches, our BI-algebra does not directly stem from an internal categorical partial commutative monoid.
Numerical Study of Data Center Composite Cooling System

During recent years, the energy consumption of data centers (DCs) has doubled every four years, and DCs accounted for about 3% of the global electricity consumption in 2010. In order to reduce the specific energy consumption, methods for improving the thermal performance of data center have been proposed. In this paper, a composite cooling system combining a heat pipe technology and overhead floor return air technology was introduced. In this study, two novel concepts (i.e., no server upper heat pipe exchanger and server upper heat pipe exchanger) were developed and compared using the Airpak 3.0 software packages. Simulation results show that the new system proposed can effectively improve the thermal environment in high-density data center. Simultaneously, the energy consumption of air conditioning and operating cost of the data center can be significantly reduced. Racks had more uniform temperature distribution, and the number of rack hot spots has been significantly reduced.
LibGuides: Working Remotely: Coronavirus Disease 2019 (COVD-19)

MCW Libraries will continue to provide high quality services and resources where ever you may be.
Pengaruh Minat Dan Bakat Siswa Terhadap Prestasi belajar matematika pada Siswa Kelas V Di SD Negeri 8 Wonogiri Tahun Pelajaran 2017/2018

The purpose of this research are: (1) To know and describe the influence of interest in learning on mathematics learning achievement in grade V students in SD Negeri 8 Wonogiri in the academic year 2017/2018. (2) To know and describe the influence of talent on mathematics learning achievement in grade V students in SD Negeri 8 Wonogiri in the academic year 2017/2018. (3) To know and describe the influence of interest and talents together on the achievement of learning mathematics in grade V students in SD Negeri 8 Wonogiri in the academic year 2017/2018. Research type used by researcher for this research is quantitative with case study research approach. The researcher took the research place at SD Negeri 8 Wonogiri. Jl. Raya, No. 236, Giripurwo, Kec. Wonogiri, KabupatenWonogiri, Central Java. The population in this study is all students of SD Negeri 8 Wonogiri amounted to 214 students. The number of samples in this study as many as 35 students of class V. Data collection techniques used in the author of the method of questionnaires, tests, and documentation. Validity and reliability test aims to know the good or bad questionnaire used in the study. Hypothesis test using t-test analysis. Conclusion in this research are: (1) There is a significant positive influence between the interest of learning with the results of learning mathematics of grade V students of SD Negeri 8 Wonogiri. Jl. Raya, No. 236, Giripurwo, Kec. Wonogiri, Wonogiri Regency, Central Java, with a significant value of 0,029 (p 0.05). The higher the talent possessed, the higher the achievement of the bell. (3) There is an influence of interest and talent together on the achievement of learning mathematics in grade V students in SD Negeri 8 Wonogiri in the academic year 2017/2018. Significant value of 0,012 (p> 0.05).
ACTIONS OF INTERNATIONALIZATION OF THE POSTGRADUATE PROGRAMS IN LIBRARIANSHIP, INFORMATION SCIENCE AND DOCUMENTATION: BRAZIL AND PORTUGAL

Study of the implemented actions by the Brazilian and Portuguese coordinators of the Graduate Programs of the areas of Librarianship, Information Sciences and Documentation for the internationalization and visibility of the academic and scientific work. This research is characterized as a study of multiple cases of qualitative-interpretative nature, using content analysis as a research technique. Its relevance lies in the field of Multimedia and Education and Information Science. For this purpose, interviews were conducted with the coordinators of the selected Programs as scenarios of this study, linked to Public Higher Education Institutions (HEIs) located in Brazil and Portugal. The results present the internationalization actions developed by the respondents through agreements, agreements and cooperation established with professors / researchers from foreign universities, aiming at professional qualification, as well as the establishment of partnerships for the development of collaborative writing for publications of works, preferably , in English language in indexed journals, for the development of research projects, participation in international events such as lecturers or for presentation of papers, as well as evaluators of international journals. Considering the results demonstrated by the information gathered through the interviews, it is concluded that these subjects recognize the potential of internationalization as a prerequisite for the expansion of the prestige and recognition of these scientific communities.
Improving the speed of the Lizard implementation

Along with the recent advances in quantum computers, it is anticipated that cryptographic attacks using them will make it insecure to use existing public key algorithms such as RSA and ECC. Currently, a lot of researches are underway to replace them by devising PQC (Post Quantum Cryptography) schemes. In this paper, we propose a performance enhancement method for Lizard implementation which is one of NIST PQC standardization submission. The proposed method is able to improve the performance by 7 ~ 25% for its algorithms compared to the implementation in the submission through the techniques of various implementation aspects. This study hopes that Lizard will become more competitive as a candidate for PQC standardization.
PENENTUAN SANTRI TELADAN MELALUI SISTEM PENDUKUNG KEPUTUSAN MENGGUNAKAN METODE PROFILE MATCHING (STUDI KASUS DI PONDOK PESANTREN AT-TAQWA CIREBON)

The  education  system in Islamic boarding schools is one  way in  which students will be selected as exemplary students and given awards annually.  The selection process  so far has not  used a  computerized assessment system, so that every part that requires assessment cannot quickly get an objective result in determining the assessment of the exemplary santri. The decision support system for the exemplary santri election was an alternative solution. This decision-making system can take into account all the criteria for selecting students quickly, easily in the data processing decision making process to determine the exemplary students. The method used in the design of this system uses the profile maching method through the PHP programming language and MySQL database. From this research the hypothesis p value (sig) 0,000 1,699) t-table is obtained, so H0 is rejected, Ha is accepted. so it can be concluded that the profile matching method can make it easier to determine exemplary santri.
Exploiting Linearity of Modular Multiplication

The XOR and the addition $$\boxplus $$ operations have been widely used as building blocks for many cryptographic primitives. These operations and the multiplication $$\odot $$ operation are successively used in the design of IDEA and the MESH block ciphers. This work presents several interesting algebraic properties of the multiplication operation. By fixing one operand, we obtain vector valued function $$\varvec{g}_Z$$ on $$\mathbb Z_{2}^n$$, associated with $$\odot $$. In this paper we show that the nonlinearity of $$\varvec{g}_Z$$ remains the same under some transformations of Z and moreover we give an upper bound for the nonlinearity of $$\varvec{g}_Z$$ when Z is a power of 2. Under weak-key assumptions, we furthermore present a list of new linear relations for 1-round IDEA cipher, some of directly derived and others algorithmically generated using these relations and known ones. We extend the largest linear weak key class for IDEA cipher with size $$2^{23}$$ to derive such a class with sizes $$2^{24}$$. Under the independent key subblocks (subkeys) and weak-key assumptions we derive many linear relations for IDEA cipher using linear relations for 1-round IDEA cipher.
A Study of Fastest Growth in Python

Python is a suitable language for both learning and real world programming. Python is a powerful high-level, object-oriented programming language created by Guido van Rossum. Inthis paper, I will explore the extraordinary growth of the Python programming language in the last five years, as seen by Stack Overflow traffic within high-income countries. The term“fastest-growing” can be hard to define precisely, but we make the case that Python has a solid claim to being the fastest-growing maj
Applications in syntax analysis: programming languages

This chapter consists of four sections. Section 17.1 conceptualizes two fundamental approaches to syntax analysis -top-down parsing and bottom-up parsing. Then, Section 17.2 describes the former approach, while Section 17.3 explores the latter. Section 17.4 explains how to implement a syntax-directed translation, which is completely driven by a parser when producing target machine language programs.
A knowledgebase insider threat mitigation model in the cloud: a proactive approach

Security of cloud computing is a major concern for both organisations and individuals. The cloud users want to make sure that their private data will be safe from disclosure of both outsiders of the cloud as well as from (probably malicious) insiders (cloud agents) of the cloud. Hence, insiders' threats of the cloud computing is a major issue that needs to be tackled and resolved. In this paper, we propose a proactive insider threat model using a knowledgebase approach. Proactive in a sense that our model tries to detect (in advance) any deliberate deviation of the legal accesses an insider might try to perform so that the individuals' private data will be protected and secured. At the same time the cloud resources will be insured to be secured as well as consistent at all times. Knowledgebase models were used earlier in preventing insider threats in both the system level and the database level. This knowledgebase work will be extended to cloud computing systems.
PELATIHAN DAN PENDAMPINGAN PENYUSUNAN LAPORAN PADA BADAN PENGELOLA SARANA PENYEDIAAN AIR MINUM DAN SANITASI (BP-SPAMS) DI KECAMATAN KEBONAGUNG KABUPATEN DEMAK

The Water and Sanitation Provision Facility Management Agency (BP-SPAMS) is a organized of working group from community that has task of managing water and sanitation facilities in local community. BP-SPAMS in maintaining continuity service and provision clean water to the community (sustainability) requires a budget. The purpose of this training and mentoring is to provide literacy to the community in making financial reports for both monthly and yearly. The methods used in community service activities are form of: presentation, discussion, simulation and question and answer about making financial reports. Learning strategies and discussion use andragogics with the audience as a source of learning. Best Practice was also carried out to arouse desire and motivation to advance BP-SPAMS in their respective villages in Kebonagung District, Demak Regency. STIE Totalwin Semarang Training Team is willing to be a companion until the BP-SPAMS can make financial reports.In order for the synergy to occur, the STIE Totalwin coach team expects to prepare cash reports in the form of manuals (handwritten) must be complete and sequential or according to the transaction date. The target to be achieved by all BP-SPAMS has been able to make and compile financial reports in form of typing computers. So that in 2019 it is expected that there will be development in service by making information technology-based reports.
Hydrocarbon Compounds Learning Application

Hydrocarbons are the simplest class of carbon compounds. They consist only of the elements carbon (C) and hydrogen (H). Although they only consist of two elements, hydrocarbons are a large compound, as well as one of the most important sources of energy on earth. The main use is as a fuel source. In their solid form, hydrocarbons are one of the asphaltforming compositions. By seeing the importance of learning hydrocarbons, we made a mobile application to facilitate student learning from some of the learning materials. Users are confronted with hydrocarbon compounds and are asked to identify the compound’s name. Users are also faced with a hydrocarbon’s name and they are asked to draw the compounds.