Reviewerly/exHarmony huggingface dataset:
Frequency-Based Convolutional Neural Network for Efficient Segmentation of Histopathology Whole Slide Images

CNN-based methods for WSI segmentation are time-consuming under the limits of communication bandwidth and memory usage, due to the high pixel resolution of WSIs. In this paper, we propose a novel framework for accelerating the segmentation of digital histopathology WSIs in the frequency domain. Based on the characteristics of the JPEG format in data storage and transmission on the existing digital histopathological diagnosis cloud platform, we extract DCT coefficients from the JEPG decoding and compress them into the DCT feature cubes by a frequency selection block. Based on the DCT feature cubes, we propose an extremely light-weighted model named Efficient DCT-Network (EDCT-Net). The size of the input data, as well as the bandwidth requirement for CPU-GPU transmitting, for EDCT-net reduces by 96% compared to the common CNN-based methods. And, the number of model parameters and the floating-point operations (FLOPs) for EDCT-Net decreases by 98% and 94% compared to the baseline method. The experimental results have demonstrated that our method achieves a Dice score of 0.811 with only 8 frequency channels in the task of endometrial histopathology WSI segmentation, which is comparable with state-of-the-art methods.
Design of Solar Dish/Stirling Rotation Control System with Dual Axis Solar Tracker

This paper presents a dual-axis tracking control system for a Small Dish/Stirling System (SDSS). The sun trajectory tracking algorithm was applied for all-weather accurate sun tracking. The rotating devices consist of two brushless DC motors, an encoder, an inclinator and slewing drivers. The dual-axis solar tracker was applied to improve the system’s accuracy. Experimental results show that the system performance is reliable, and the average sun-tracking accuracy achieves 0.278° and 0.321° for azimuth and zenith respectively.
A family of integrable and non-integrable difference equations arising from cluster algebras (Mathematical structures of integrable systems and their applications)

Mathematical structures of integrable systems and their applications. September 5-7, 2018. edited by Shinsuke Iwao. The papers presented in this volume of RIMS Kokyuroku Bessatsu are in final form and refereed.
Application of Data Processing for Zakat Payments at Nur Salam Mosque Batik, Talaud Islands Regency

Zakat is to set aside a portion of the property owned if it is sufficient for the nisab and give it to those who are entitled to receive it. The process of working on a plan or completion of certain work such as zakat payment data still uses the manual method, this causes the data to be less effective. Therefore we need a computer-based data processing application that can handle and process data related to zakat as a whole quickly and accurately and can avoid errors in processing zakat payment data. The goal to be achieved by the author is to be able to provide solutions to problems that occur related to processing zakat payment data at the Nur Salam Bantik Mosque, as well as facilitating report generation. The application made is an application for processing zakat payment data at the Nur Salam Bantik Mosque using Visual Basic 6.0 programming language and Microsoft Access as a data base processor.
OVERLOOKED PUBLIC CONCERN THAT APPEALS FOR STRATEGIC CONSIDERATION AND ADEQUATE EVALUATION

ABSTRACT Pursuant to the quantitative research design, the study explores the association between gender inequality, and political and economic variables regarding the sub-Saharan African countries. Even though there is some progress, noticeable dilemmas affect the rights and benefits of women. UN and AU issued policies and initiatives guide the effort of African nations to work towards narrowing the gender gap. It requires relentless commitment and pragmatic strategies, such as gender mainstreaming together with adequate monitoring and evaluation. Keywords Gender equality, policy, gender mainstreaming, strategic planning, evaluation
How software engineers deal with decisions in Scrum – An analysis

The Agile Manifesto titled “Working software over comprehensive documentation”. Although the stated principle makes an important point, it should not follow that documentation becomes obsolete. On the contrary, agile software development (ASD) is based on frequent decisions focused on customer benefits. Those decisions guide further development, subsequent maintenance, and software evolution and are made during every stage of the software development cycle. Thus, documenting the most important ones is an important foundation fostering product comprehension, software quality, and customer benefit. Besides, preserving decision knowledge supports refactoring and, thus, diminishing software erosion. However, all these beneficial properties are opposed by a dismissive attitude among software developers. Documentation is very unpopular among software developers, especially in the ASD community. A common interpretation of the agile manifesto at this point is that good and functional code can fully replace documentation. Among other reasons, this attitude is the reason for the sparse application of structured and systematic documentation of decisions and their rationale. To shed more light on imponderables, developer’s desires regarding decision documentation, and assess the outlined perception of a lack of decision documentation, this paper reports a survey on decision documentation in Scrum among industry practitioners. The author assesses to what extent the above claims hold by asking industry practitioners about their perceptions and applied practices regarding decision documentation in Scrum. Therefore, the author conducted a large-scale survey in the German and English speaking Scrum community. A few more than 100 software developers were asked what they document, how they document and how they use/share produced documentation. The findings of this report reveal that there is a wide range of opinions in the agile community. The responses show that a developer’s experience significantly impacts the documentation frequency and the interest in the available documentation. Similarly, the role in which software developers have operated in Scrum plays a significant role in the frequency of documentation and the timing when developers document.
A Methodical Text Mining on a Rationale of Domain Ontology

Text mining is a good means of getting probably helpful information from the text document. However, ancient text mining cannot come through high accuracy, as a result of it cannot effectively create use of the linguistic data of the text. Ontology provides a theoretical basis and technical support for linguistics data illustration and organization. This paper introduces and analyzes text mining based on domain ontology.
A Cognitive Control Approach for Networked Control Systems with Random Packet Losses

Abstract This paper presents a novel hybrid cognitive control method inspired by human brain mechanism for networked control systems (NCSs) with random packet dropouts. The random packet losses are assumed to occur in both channels from sensor to controller and from controller to actuator. Different from most of the existing studies, the information entropy is utilized to characterize the uncertainties of the random packet dropouts. A hybrid cognitive control model is designed for NCSs subject to random packet losses. More specifically, the proposed hybrid cognitive control algorithm is constructed by using the Q‐learning and backstepping control simultaneously. That is, the Q‐learning is employed for the cognitive controller to regulate the backstepping controller and meantime act on the control object. In addition, the information gap is defined based on the information entropy, and used for depicting the uncertainties of the random packet dropouts. Simulation results are performed to validate the designed hybrid cognitive control method, demonstrating that it can eliminate the effects of packet losses and thus performs better than the traditional backstepping or proportional‐integral‐derivative (PID) controllers.
Patch Craft: Video Denoising by Deep Modeling and Patch Matching

The non-local self-similarity property of natural images has been exploited extensively for solving various image processing problems. When it comes to video sequences, harnessing this force is even more beneficial due to the temporal redundancy. In the context of image and video denoising, many classically-oriented algorithms employ self-similarity, splitting the data into overlapping patches, gathering groups of similar ones and processing these together somehow. With the emergence of convolutional neural networks (CNN), the patch-based framework has been abandoned. Most CNN denoisers operate on the whole image, leveraging non-local relations only implicitly by using a large receptive field. This work proposes a novel approach for leveraging self-similarity in the context of video denoising, while still relying on a regular convolutional architecture. We introduce a concept of patch-craft frames - artificial frames that are similar to the real ones, built by tiling matched patches. Our algorithm augments video sequences with patch-craft frames and feeds them to a CNN. We demonstrate the substantial boost in denoising performance obtained with the proposed approach.
Improving Speaking Skill by Applying Oral Presentation of the Seventh Grade Students

The study aimed to improve the students’ speaking skills by applying Classroom Action Research (CAR) using a collaborative design. There are five steps involved in the investigation: main research, planning, implementing the plan, witnessing the action, and reflecting on the activities carried out in two cycles. There are five steps involved in the investigation: main research, planning, implementing the plan, witnessing the action, and reflecting on the actions carried out in two cycles on 20 first semester VII graders 2019/2020 at Public junior high Scholl 11 Malang. The type of research data was through the mechanism of observation and testing as an instrument of this research. Based on the results of the application of the mechanism, it was determined that the students' presentation skills had a statistically significant mean result (from 46 % first cycle to 75 % the second cycle). As indicated by the increase in the average score of students in the preliminary study, the average score of students in the preliminary study was 6.95 in the first cycle and 7.21 in the second cycle in the first cycle of the preliminary study.
Indoor cycling trainer for measuring and improving cyclist sports performance: Sharifah Zarith Rahmah Syed Ahmad, Yusliza Yusoff, Azlan Mohd Zain, Nurzal Effiyana Ghazali

The indoor trainer has been use by many either to maintain stamina during the winter or to prepare for professional tournament. The usage of indoor trainer shouldn’t be limited for maintaining stamina and winter training. The purpose of this study is to investigate what is the method conduct by recent studies that utilized indoor trainer as a research tools. This study also covers different types of indoor trainer available and types of additional sensor available. The study learns that in order to conduct research in any contextual studies the suitable setting is either fixed time trial or control group methods; and the favorable indoor trainer tools are fluid and direct drive trainer.
Building Collaborative Governance: A Case Study of the Jeju Civilian-Military Complex Port

This study analyzes the process of selecting candidate sites for a naval base on Jeju Island in terms of collaborative governance in order to present advice for preventing mistakes that were made which led to both financial damage and a loss of social capital. Research Design, Data and Methodology: After a literature review, a working definition of collaborative governance is presented along with a set of variables which are considered to be key components of collaborative governance. These variables are then analyzed within the framework definition of collaborative governance using a modified version of Ansell and Gash s model (2008), with the addition of some concepts of variables as depicted in the model of Emerson et al. (2012). Results: Participants in the site selection process were divided into two groups, those supporting the construction of the Jeju Naval Base and those in opposition, and the two parties did not form the networks for collaborative governance, especially at the outset of the process. Because of an imbalance of available power and resources, with the advantage being held by the Ministry of National Defense, the ministry did not share information with those opposed to the naval base, which could have led to the formation of networks for collaborative governance and the building of a constructive relationship. One of the major incentives given for building the naval base was the benefit to the local economy, but opponents of the project argued that this did not outweigh the cost of damage to the natural environment. Conclusion: This study finds that insufficient effort was made to embrace all stakeholders in the process and that there was inadequate consideration of their demands in terms of collaborative governance. A public-private partnership would have been a desirable first step towards building trust and reaching the goal of achieving coordination, rather than one-sided decision-making. Although many scholars rightly emphasize the importance of face-to-face dialogue between stakeholders, which leads to a consensus-oriented process through the breaking down of stereotypes and other barriers to communication, it was almost non-existent in this case of Gangjeong Village Jeju.
The Structural Relationship among Employee Creativity, Emotional Labor Strategies, Job Satisfaction, Organizational Citizenship Behavior, Customer Orientation and Turnover Intention

本研究以在醫院與顧客進行直接接觸並提供服務的一線護士為研究對象,致力於研究員工創造性, 情緒勞動策略(表面行為, 深度行為, 自然表現), 工作滿意度, 組織公民行為, 顧客導向性與離職意向間的結構關係. 本研究通過對409位嶺南地區一線護士的調查進行實證研究, 對樣本進行了信任度分析, 探索性因子分析和確定性因子分析，並運用AMOS進行了假設檢驗. 抽樣方法採用方便抽樣方法. 根據研究結果，員工創造性對工作滿意度產生正向影響，情緒勞動策略中的表面行為對工作滿意度產生負向影響，深度行為和自然表現對工作滿意度產生正向影響，工作滿意度對顧客導向性和組織公民行為產生正向影響，而工作滿意度, 顧客導向性和組織公民行為對離職意向產生負向影響. 最後本研究根據研究結果提出了理論性啟示與實踐性啟示，並提出了局限性與未來研究的方向.
Towards More Powerful Multi-column Convolutional Network for Crowd Counting

Scale variation has always been one of the most challenging problems for crowd counting. By using multi-column convolutions with different receptive fields to deal with different scales in the scene, the multi-column convolutional networks have achieved good performance. However, there is still great potential waiting to be explored for multi-column convolutional networks. To this end, we propose to design a multi-column neural network that can more effectively adapt to scene scale variations automatically, by applying Neural Architecture Search technology. First, we combine Progressive Neural Architecture Search scheme with crowd counting to construct our Progressive Multi-column Architecture Serach (PMAS) framework. Furthermore, to reduce the bias caused by the weight-share scheme, which is widely adopted in efficient Neural Architecture Search, we propose a novel pre-architecture-based weight-share scheme. Experiments on several challenging datasets demonstrate the effectiveness of our method.
PERSEPSI MAHASISWA TERHADAP PRAKTIKUM DARING MATA KULIAH ALGORITMA DAN PEMOGRAMAN DITINJAU DARI PERBEDAAN GENDER

Algorithm and programming practicum is one of the basic and compulsory courses for the informatics engineering study program. Practicum for this course is conducted with a computer supported laboratory which requires students to be proficient in using computers and software in order to be able to attend these lectures well. The challenges are increasing when the Covid-19 pandemic forces the implementation of lectures to become online lectures. Therefore this study aims to see how students' perceptions of online practicum in algorithm and programming courses in terms of gender differences. This research is a descriptive quantitative research conducted using a survey method with a questionnaire technique. The research population was 76 students of the Informatics Engineering Study Program in semester I who took Algorithm and Programming courses. Samples were taken randomly with a total of 48 students (24 male students and 24 female students). The results showed that in general students had a positive perception of the implementation of algorithmic and programming online practicum lectures. However, in terms of gender differences, there are differences in perceptions of the practicum module related to the ability to find information. Male students were slightly better at finding information on the module than female students (90%: 87%). Perceptions of the implementation of online practicum also show that male students have a better perception than female students (17%) mainly due to the use of supporting software in practicum activities.
Modeling and Detecting Anomalous Safety Events in Approach Flights Using ADS-B Data

This thesis shows that it is possible to produce safety knowledge by mining Automatic Dependent Surveillance-Broadcast (ADS-B) data. The methodology combines exceedance detection and anomaly detection techniques to identify anomalous safety events in approach flights. One of these events is unstable approaches, which are identified with a rule-based algorithm and a Gaussian Mixture Model (GMM). The first model relies on the idea that an aircraft during the final approach needs to be flying within a certain horizontal area. The second one extracts the energy characteristics of the aircraft using ADS-B data, and later trains the GMM which is used for anomaly detection. Also, go-arounds are detected in the data using fuzzy logic with four S-functions to model the dynamics of a go-around. After identifying these events, indicators are constructed by aggregating the results to monitor safety performance. These models are applied to the ADS-B data from 2018 of the Schiphol Airport area in Amsterdam. Thus, it is possible to derive insights for runways and months, and it is possible to combine these indicators with extra variables such as meteorological data.
Evaluasi Sistem Informasi Rekam Medis Di Rumah Sakit Brayat Minulya

Motivation/Background: Brayat Minulya Hospital already uses a medical record information system, but no evaluation has been done. Constraints were found including the reports generated by the system were invalid and real time, there was duplication of patient data. This study aims to evaluate the system using the PIECES method. Method: This research was conducted in March-June 2018. This type of research is descriptive with a cross sectional approach. The research variables are performance, information, economy, control, efficiency, service. Data collection techniques are interviews and observation. Processing of data collecting, editing, coding, classification and tabulating. Research instruments include interview guidelines, observation guidelines and questionnaires. Results: The Performance aspect is considered quite good by the registration section, service staff, but not good enough in the reporting section. The information aspect produced by the system is not good in all units because it does not meet the needs of hospital statistical data. The economy aspect of the system is considered poor because the resulting data still has to be crosschecked. The control aspect of the system is considered very good because it meets the data security aspect. The efficiency aspect of the system is good enough to increase time efficiency, but in the reporting section it is not good. The service aspect of the system for accuracy and speed is still quite good, the system is easy to learn. Conclusions: The medical record information system is good in terms of performance and data security but is lacking in terms of the accuracy of the information and reports generated.
Information in propositional proofs and algorithmic proof search.

We study from the proof complexity perspective the (informal) proof search problem: Is there an optimal way to search for propositional proofs? We note that for any fixed proof system there exists a time-optimal proof search algorithm. Using classical proof complexity results about reflection principles we prove that a time-optimal proof search algorithm exists without restricting proof systems iff a p-optimal proof system exists. To characterize precisely the time proof search algorithms need for individual formulas we introduce a new proof complexity measure based on algorithmic information concepts. In particular, to a proof system $P$ we attach {\bf information-efficiency function} $i_P(\tau)$ assigning to a tautology a natural number, and we show that: - $i_P(\tau)$ characterizes time any $P$-proof search algorithm has to use on $\tau$ and that for a fixed $P$ there is such an information-optimal algorithm, - a proof system is information-efficiency optimal iff it is p-optimal, - for non-automatizable systems $P$ there are formulas $\tau$ with short proofs but having large information measure $i_P(\tau)$. We isolate and motivate the problem to establish unconditional super-logarithmic lower bounds for $i_P(\tau)$ where no super-polynomial size lower bounds are known. We also point out connections of the new measure with some topics in proof complexity other than proof search.
UTILIZATION OF DHT11 AND HC-06 SENSORS IN HUMIDITY AND TEMPERATURE CONTROL OF MUSHROOM CAGE

The need for food and healthy food is increasing now with the development of technology about food processing, especially foods with mushroom types. Oyster mushroom is one type of mushroom that is safe for consumption, because oyster mushroom is one kind of complementary food besides rice which has high nutritional value. Due to having a considerable economic value resulting in a lot of oyster mushroom cultivation which is a type of small business that starts from breeding, production, and processing of oyster mushrooms. Oyster mushrooms can grow in the area around the house, oyster mushroom cultivation takes into account several factors including air humidity, air temperature, and lighting regulation, this type of fungus should not be exposed to direct sunlight. In order to maximize yield, we need a kumbung. making the ideal kumbung namely mushroom kumbung which is always awake to the humidity of the air. While the media used is wood powder media mixed with katul with a composition of 15%, 2% lime, and 5% corn powder. Then the mixture is mixed with water with a composition of 60% and stirred, allowed to stand and check the degree of acidity. Then cooled put into polybags plastic and put in a barrel for cooking process (Steam) for 7 hours to sterilize the media. As for the humidity temperature is maintained between 23- 280C. The problems faced by oyster mushroom farmers in Jember City are the regulation of air temperature and humidity that are erratic, when the hot air is very dry humidity, and during the rainy season the humidity is very wet so that it interferes with the mushroom production process. So we need a mechanism that is able to deal with these problems by implementing a mushroom kumbung humidity control system automatically by using a DHT11 sensor connected to Bluetooth HC-06. The function of the DHT11 sensor has been adjusted to the temperature of oyster mushroom humidity. And the second solution is to help control the production and marketing processes by utilizing an integrated management information system