Reviewerly/exHarmony huggingface dataset:
Low Power Implementation Of Ternary Content Addressable Memory (TCAM)

In network routers, Ternary Content Addressable Memory (TCAM)[1] based search engines take an important role. One of the improved versions of Content Addressable Memory (CAM) is TCAM. For high speed and broader searching operation TCAM is used. Unlike normal CAM, TCAM has 3 logic states: 0, 1, ‘X’. In TCAM within one single clock cycle, search operation can be performed. That is why it is called special type of memory. Also, quick search ability is one of the popular features of TCAM. To compare the search and stored data, TCAM array acts parallel in every location. But high power dissipation is the main disadvantage of TCAM. To overcome this power dissipation in this paper we proposed a low power TCAM implementation by using Reversible logic.[2] Reversible logic has less heat dissipating characteristics property with respect to irreversible gate. Also, Reversible logic has ultra-low power characteristics feature. In recent past it has been proved that reversible gates can implement any Boolean function.
Supplementary material to &amp;quot;SuperflexPy 1.2.0: an open source Python framework for building, testing and improving conceptual hydrological models&amp;quot;

The user who wants to access the most updated version of the documentation, can find it at the address superflexpy.readthedocs.io.From the website, it is also possible to generate a PDF snapshot of the documentation by accessing the menu on the bottom left.i • Prof. Dmitri Kavetski (design and supervision
Hypersemiotics in Printed Commercial Advertising

Commercial advertising is currently created with an imaginative look. The elements are framed in verbal and nonverbal ways, and there is a structure of discourse where the message is hidden by the advertiser or copywriter. This article attempts to explore how advertisements uses verbal and nonverbal elements or signs, the relationships between these elements, and how these elements are interpreted. To understand the meaning and message of the advertisement, the elements will be analyzed with van Dijk’s concepts such as macrostructures (comprehension for complex information), superstructures (the schematic form that organizes the global meaning of a text), and microstructures (text grammars), and to understand signs especially nonverbal sign the hyper-semiotics theory will be used.
SISTEM PAKAR PENYAKIT PENCERNAAN DENGAN METODE CASE BASE REASONING (STUDI KASUS : RSUD DR. H. YULIDDIN AWAY)

Digestive diseases are all diseases that occur in the channel digestion. This disease is a large group of diseases esophageal organs, stomach, duodenum first, second and third part, jejunum, ileum, colon, sigmoid colon, and rectum. Digestive disease need early prevention, in the field of computers how to anticipate can by using an expert system. Expert system is a system that can make conclusions like an expert. Expert systems have many one method is the CBR method. CBR method is a method inference based on the old case. This method can be applied in fields health and is widely implemented in the world of health one to diagnose various digestive diseases. System can do Diagnosis of the disease is based on the symptoms entered by the patient through questions the questions raised by the system and provide information about the illness suffered by the patient.
Engagement Detection Framework for Hand Gesture and Posture Recognition

Hand gesture and posture recognition play an important role in Human-Computer Interaction (HCI) applications. They are main attributes in object or environment manipulations using vision-based inter- faces. However, before interpreting these gestures and postures as operational activities, a meaningful involvement with the target object should be detected. This meaningful involvement is called engagement. Upper-body posture gives significant information about user engagement. In this research, for our first contribution, a novel multi-modal model for engagement detection, called Disengagement, Attention, Intention, Action (DAIA) framework is presented. Disengagement happens when the user is disengaged from the target object. Attention occurs when user pays attention to the target, but doesn't have the intention to take any actions. In Intention state, the user intends to perform an action, but still does not. Action state is when the user is performing an action with hand. Using DAIA, the spectrum of mental status for performing a manipulative action is quantized in a finite number of engagement states. The second contribution of this research is in designing multiple binary classifiers based on upper-body postures for state detection. 3D skeleton data is extracted from depth image and is used to extract body posture information. Combining the output of all binary classifiers in an order makes engagement feature vector. Moreover, This feature vector could be extended using other channels of biometric information such as voice or gaze. However the engagemnet classifiers recognize the state change with acceptable accuracy, minor changes in body postures or false detection of joint locations for some milliseconds may result in transition to another states. For removing this unwanted noise and increasing the accuracy of the system, an Finite State Machine (FSM) is designed based on the properties of human activities. The design of Engagement FSM is our third major contribution. Finally, rotation matrix is used to increase the number of samples for training the deep learning classifier for hand posture recognition.
Lorentz Chaotic System key generation with Low Area FPGA Implementation using Present Security Algorithm

Recently, the study of lightweight symmetric ciphers has gained more importance because of high requirement in the services for security in the CCNs (Constrained Computing Environments): Wireless Sensor Network (WSN), Internet of Things (IoT). A lightweight cipher is a cryptographic algorithm which is used for low resource device, minimal area optimization, low power design and attains sufficient security level. Size of the key is considered as major challenges in the cryptographic algorithms, because it increases the complexity of the cryptographic algorithm. To overcome this issue and improve the security, Lorentz Chaotic System (LCS) based PRESENT architecture is introduced in this research. The PRESENT lightweight block cipher is selected due to it is most general and famous lightweight algorithms. Hence, the random numbers were generated for a key purpose by using an LCS circuit. The streaming data will be encrypt and decrypt by using this algorithm. In this research, the modified lightweight block cipher algorithm is called as LCS- PRESENT architecture. Finally, the performance of LCS - PRESENT architecture was evaluated by FPGA hardware utilizations such as Lookup Table (LUT), flip flop, slices, and frequency. The security level of LCS- PRESENT architecture was analysed based on encrypted and decrypted results in XILINX tool. The LCS- PRESENT architecture utilizes the FPGA device to attain maximum accuracy and throughput, such as 30 of LUTs, 115 of flip flops and 47 of slices from available sources compared to existing cryptographic algorithms.
Penggunaan Madu Topikal Efektif terhadap Penyembuhan Luka Kronis

The aim of this study was to determine the effectiveness of topical honey in chronic wound healing. This research method uses a literature review method using five databases in search of articles, namely Pubmed, ProQuest, Science Direct, Wiley Online Library, and Google Scholar. The results of the literature review are from six research articles analyzed, five research articles showed that honey was effective against chronic wound healing compared to normal saline, povidone iodine and other therapies (p value &lt;0.05), but one article was not statistically significant. In conclusion, the use of honey as a topical therapy which is effective in treating chronic wounds is due to the nutritional content or properties of honey.&#x0D; &#x0D; Keywords: Chronic Wounds, Honey, Wound Healing, Ulcers
ICTs and New Scenarios for Diversity

Research is a process aimed at seeking new knowledge, in this case, it will be to find alternative paths in the field of new technologies that serve to support special educational needs. Society demands these technological contributions to solve problems that contribute to inclusion, which led man to work with greater ergonomics; The school, a social institution, also needs these resources so that all students can build a teaching process of functional and meaningful learning for each and every student. The educational system outlines an education that attends to the educational needs of all students; and from these pages the intention is that new technologies are a path of support that assists diversity and inclusion.
Generating Artificial Data for Scalability Test of a Followee Twitter Recommender System

The current methods for the evaluation of the scalability of recommender systems measure the scalability of the whole application after deployment on a cloud by calculating the running times of the application when increasing the number of nodes. This method requires the complete development and implementation of a whole application. To be able to test the recommender system during the development phase, the major problem to test the scalability and accuracy is collecting real data (i.e. social data), which is a time-consuming task and sometimes it is not possible due to privacy concerns. This thesis proposes measuring the scalability of Twitter recommender systems by simulating the software, which processes a large number of artificial tweets. A method is introduced and validated for producing artificial tweets to test a recommender system. This method of producing artificial tweets is based on using analytical modeling, tf-idf and bag-of-words model. A simulator is developed to test the scalability of a recommender system and underlying distributed environment.
Analysis of The Impact of E-Learning on Fifth Grade Students

When implementing E-learning, the teacher does not meet face to face with students, even though the role of the teacher in schools is very important in addition to teaching and educating students. It causes E-learning to have various impacts, both negative and positive impacts. This study aimed to analyze E-learning learning in fifth-grade elementary school students. This type of research was qualitative research. The techniques used to collect data were observation, interviews, questionnaires, and documentation. The instrument used to analyze the data was a questionnaire. The technique used in analyzing the data was descriptive qualitative. The data analysis technique in this study used three data acquisition procedures, namely data reduction, data presentation, and data verification. The result of the research is that E-learning can increase students' motivation and interest in learning more actively. E-learning is more flexible and can be accessed from anywhere. Can make students more independent in solving problems. The obstacle faced by students is the lack of supporting technology facilities for this learning process, such as the quality of gadgets and signals in the area around the school.
Statistical Evaluation of Models for the Removal of Heavy Metals in Adsorption Columns Using Bio-Waste Materials

Agro-based waste constitutes a significant amount of waste in major urban and rural communities and is therefore part of any municipal waste management strategy.The feasibility of the use of agro-based waste as adsorbents for heavy metals has been studied by a number of researchers.However, there is no comprehensive study dealing with the selection of models for design.The key variables in the process are; the heavy metals concentration, the mass of bio-sorbent and the flow rate of the influent waste water.Several models that were not originally derived for the adsorption of heavy metals are used to predict the breakthrough curves.In this study a statistical analysis of the performance of two of the widely used models (Yoon-Nelson and Thomas) was carried out in order to propose a suitable model for use in design, while pointing out the limitations.The study further investigates the use of mean empirical parameters and fitting the coefficients as a function of process parameters in an attempt to generalize the models for easy application.Both models perform equally well with the model coefficients adjusted with changes in the flow parameters.The use of average values of the parameters to generalize the models shows that the Yoon-Nelson model is incapable of predicting the performance with changes in the flow parameters.Based on available data and the results of the present analysis, the Thomas model is recommended for the design of adsorption columns for heavy metals.
Efficient Lifted Planning with Regression-Based Heuristics

Modern state-of-the-art planners operate by generating a grounded transition system prior to performing search for a solution to a given planning task. Some tasks involve a significant number of objects or entail managing predicates and action schemas with a significant number of arguments. Hence, this instantiation procedure can exhaust all available memory and therefore prevent a planner from performing search to find a solution. This thesis explores this limitation by presenting a benchmark set of problems based on Organic Chemistry Synthesis that was submitted to the latest International Planning Competition (IPC-2018). This benchmark was constructed to gauge the performance of the competing planners given that instantiation is an issue. Furthermore, a novel algorithm, the Regression-Based Heuristic Planner (RBHP), is developed with the aim of averting this issue. RBHP was inspired by the retro-synthetic approach commonly used to solve organic synthesis problems efficiently. RBHP solves planning tasks by applying domain independent heuristics, computed by regression, and performing best-first search. In contrast to most modern planners, RBHP computes heuristics backwards by applying the goal-directed regression operator. However, the best-first search proceeds forward similar to other planners. The proposed planner is evaluated on a set of planning tasks included in previous International Planning Competitions (IPC) against a subset of the top scoring state-of-the-art planners submitted to the IPC-2018.
On the Evolvability of a Hybrid Ant Colony-Cartesian Genetic Programming Methodology

In this thesis, we design a method that uses Ant Colonies as a Model-based Search to Cartesian Genetic Programming (CGP) to induce computer programs. Candidate problem solutions are encoded using a CGP representation. Ants generate problem solutions guided by pheromone traces of entities and nodes of the CGP representation. The pheromone values are updated based on the paths followed by the best ants, as suggested in the Rank-Based Ant System (ASrank). To assess the evolvability of the system we applied a modified version of the method introduced in [1] to measure rate of evolution which considers variability and neutrality as the major influences in the evolution of a system. Our results show that such method effectively reveals how evolution proceeds under different parameter settings and different environmental scenarios. The proposed hybrid architecture shows high evolvability in a dynamic environment by maintaining a pheromone model that elicits high genotype diversity.
Measurement of soil electrical conductivity based on direct digital synthesizer (DDS) and digital oscilloscope

A soil electrical conductivity (EC) measurement system based on direct digital synthesizer (DDS) and digital oscilloscope was developed. The system took the "current-voltage four-electrode method" as the design principal and adopted a six-pin structure of the probe, two center pins to measure the soil EC in shallow layer, two outside pins to measure the soil EC in deep layer, and two middle pins for inputting the driving current. A signal generating circuit using DDS technology was adopted to generate sine signals, which was connected with the two middle pins. A digital oscilloscope was used to record and store the two soil output signals with noises in microseconds, which were from the two center pins and two outside pins, respectively. Then a digital bandpass filter was used to filter the soil output signals recorded by the digital oscilloscope. Compared with the traditional analog filter circuit, the digital filter could filter out the noises of all frequency except for the frequency of the excitation source. It could improve the effect of filtering and the accuracy of the soil EC measurement system. The DDS circuit could provide more stable sine signals with larger amplitudes. The use of digital oscilloscope enables us to analyze the soil output signals in microseconds and measure the soil EC more accurately. The new soil EC measurement system based on DDS and digital oscilloscope can provide a new effective tool for soil sensing in precision agriculture. Keywords: soil electrical conductivity, direct digital synthesizer, digital oscilloscope, precision agriculture, current-voltage four-electrode method DOI: 10.25165/j.ijabe.20191206.4840 Citation: Pei X S, Meng C, Li M Z, Yang W, Zhou P. Measurement of soil electrical conductivity based on direct digital synthesizer (DDS) and digital oscilloscope. Int J Agric & Biol Eng, 2019; 12(6): 162–168.
Supplementary material to &amp;quot;A holistic framework to estimate the origins of atmospheric moisture and heat using a Lagrangian model&amp;quot;

Analysis with the software framework HAMSTER v.1.0
Experience in organizing practice-oriented classes with students of Omsk State Pedagogical University in the context of the COVID-19 pandemic

The article reveals the issues of organizing and conducting practiceoriented classes by students of higher educational institutions in the online process with schoolchildren with speech pathology. The experience of technical and psychological-pedagogical support of schoolchildren with speech pathology during distance learning in the framework of the subject course "Mathematics" is presented. The author gives an example of the organization of practice-oriented training of students during the COVID-19 pandemic, which took place on the basis of the Omsk State Pedagogical University during the pandemic.
A mapreduce relational-database index-selection tool

&lt;p&gt;The physical design of data storage is a critical administrative task for optimizing system performance. Selecting indices properly is a fundamental aspect of the system design. Index selection optimization has been widely studied in DataBase Management Systems (DBMSs). However, current DBMS are not appropriate platforms for many data nowadays. As a result, several systems have been developed to deal with these data. An index-selection optimization approach is still needed in these systems. In fact, it is even more necessary since they process Big Data. Under these circumstances, developing an index-selection tool for large-scale systems is a vital requirement. This thesis focuses on the index-selection process in HadoopDB. The main contribution of the thesis is to utilize data mining techniques to develop a tool for recommending an optimal index-set configuration. Evaluation shows significant performance improvement on the tasks running time with the tool index-set configuration. &lt;/p&gt;
Genetic link between HFSE - Base and Precious metals in Mylonite and N-S Lamprophyre Dikes, Abu Rusheid Area, Egypt

Abu Rusheid area is located at the southern Eastern Desert of Egypt and regarding as closed basin.The ophiolitic metagabbro forms the higher peripheral parts of the basin and thrusted over the ophiolitic mélange.The banded cataclastic rocks (NNW-SSE,30 0 /WSW) were deposited in the central part of basin and subdivided from base to top into; protomylonites, mylonites , ultramylonites and quartzite.They are subjected to regional metamorphism (sillmanite-kaynite -garnet facies) and cut by two shear zones (N-S and E-W trends).The shear zones are intruded by discontinuous and brecciate lamprophyre dikes.The cataclastic rocks were subjected to hydrothermal alteration types, including propylitic, sericitic, Na-metasomatism, ferrugination, fluoritization, and argillation, whereas lamprophyre dikes were underwent ferrugination, kaolinitization, sericitization, and calcification.The mylonites and N-S lamprophyre dikes, are extremely rich in base metals (Pb, Zn, Cu, and As), precious metals (Au and Ag) and HFSE (Nb, U, Zr, HREE and Y).They show MREY > HREY > LREY.The HREEs minerals are represented by xenotime, fergusonite, fluorite and zircon.The average of U/Th ratio in mylonites and lamprophyre dikes (1.3 -40.0) is higher than protomylonites and ultramylonites (0.24) manifesting migration in and out respectively.Ascending and descending hydrothermal solutions are affected on the Abu Rusheid rocks.These solutions with low temperatures and containing F 1 -and CO3 2 -, PO4 3 -and H2O caused redistribution; transportation and redeposition of the base metals, precious metals and HFSE from the mylonite rocks through channel ways to lamprophyre dikes, in addition to the clay minerals and carbonates were formed.
Efficient way in sharing of IoT data and uses of blockchain in auditing the storage data

Today the need for technology in various aspects of life has risen abruptly, hence leading to the expansion of the internet of things (IoT), but when it comes to IoT data, there is a myriad of issues regarding controlling and auditing it.A lack of measures taken for security can also make IoT vulnerable to a number of threats.To better maintain and minimise these threats, using blockchain can play a significant role by auditing and recording all actions that occur while collecting the data and storing the same in the cloud.Due to the nature of consensus methods in a blockchain system, we introduced the uses of the interplanetary file system wherein the data collected will be stored in them and a hash value will be retrieved which will be sent to the blockchain and recorded.In this paper, we introduced better blockchain-based design for IoT which can show the distributed control of how IoT data is collected, recorded for auditing and stored.Through this system we succeeded in achieving secure sharing of IoT data and proper utilisation of cloud storage resources.
Cloud Security: Inter-Host Docker Container Communication using Vault Dynamic Secrets

In this paper we attempt to address Inter-Host Docker container communications security issues by incorporating a latest approach provided by Vault Hashicorp dynamic secret mechanism for managing SSH keys and server credentials. A simulation environment is prepared for Inter-Host container communication consisting of one host running locally and the peer host running as an AWS EC2 instance in cloud. Industry standard monitoring tool Grafana is used in the simulation environment to highlight the security impacts for any organization. We also draw special attention to some of the security vulnerabilities in docker container like ARP spoofing, Integrity of the docker host and containers and MAC flooding attacks. We try to list some best practices to be followed when using docker containers in any production deployments.
PRIORITY VECTOR ESTIMATION: CONSISTENCY, COMPATIBILITY, PRECISION

Various methods of the priority vector estimation are known in the Analytic Hierarchy Process (AHP).They include the classical eigenproblem method given by Thomas Saaty, developments in least squares and multiplicative approach, robust estimation based on transformation of the pairwise ratios to the shares of preferences, and other approaches.In this paper the priority vectors are completed with validation of data consistency, comparisons of vectors compatibility, and estimation of precision for matrix approximation by vectors.Numerical results for different data sizes and consistency show that the considered methods reveal useful features, are simple and convenient, capable of facilitating practical applications of the AHP in solving various multiple-criteria decision making problems.