bluuebunny/crossref_metadata_2025 huggingface dataset:
Propagation of Cynometra beddomei Prain (Leguminose) through clones and seeds
Authors: Jose P.A. , N.M. Binoy , Jithin K.V.
Published: November 2021

Detailed studied were conducted on the efficacy of clonal and seed germination behaviour of an endemic leguminous tree (C.b.) in Western Ghats. The study revealed maximum stem rooting (75%) and air layering success (60%) by the use of IBA 3000 and IBA 1000ppm respectively. The moderately recalcitrant type of seeds with 51% moisture content had shown 100% germination and 40% when attained critical moisture content at 38 to 40%. Overnight water soaking influenced early germination (5-6 days) than control sets. The present study is therefore first time optimize clonal and seed propagation methods of the species further to raise clonal genetic stock and germplasm storage for effective ex situ conservation from its local extinction.
Four Species of Fissidens Hedw. (Fissidentaceae; Dicranales; Bryopsida): New Records to Eastern Ghats of India
Authors: Sreenath Ananthaneni , Rao Boyina
Published: November 2021

Four species of Fissidens Hedw. viz., Fissidens ganguleei Nork., F. grandifrons Bird., F. incognitis Gangulee. and F. Jungermanniodes Giff., collected from different localities of Andhra Pradesh are new distributional records for Eastern Ghats eco-region of India.
Vegetation composition and soil characteristics of a community managed forest situated in the foothills of Dhauladhar range, Western Himalaya
Authors: Uniyal Anjali , Sharma Rohit , Rawat Gopal
Published: November 2021

Community managed forest in the foothills of Dhauladhar range supports the livelihood of rural communities by supplying a range of provisioning services. However, baseline data on the vegetation composition of this forest is still lacking which is otherwise very important to assess the status of forest in sustaining the flow of ecosystem services (ES). Present study therefore aimed to quantify its vegetation structure and composition. Encroachment of Ageratina adenophora in the forest fringes has not only deteriorated the vegetation composition but has also affected the quality of soil leading to loss of native herbs and grasses causing decline in fodder availability for the livestock. Due to improper management measures, the invasive species is spreading fast to other interior areas. This has serious implications for the sustenance of the provisioning services for the rural people including water retaining capacity of the forest ecosystem. Hence, proper management interventions are needed for the conservation of this forest so that the flow of ecosystem services continues for a long term.
Impatiens dendricola C. E. C. Fisch. (Balsaminaceae): A new record for Tamil Nadu
Authors:   National Orchidarium & Experimental Garden, Botanical Survey of India, Southern Regional Centre, Yercaud, Salem District, Tamil Nadu, India, PIN : 636602, Saravanan T. S. , Kaliamoorthy S. ,   National Orchidarium & Experimental Garden, Botanical Survey of India, Southern Regional Centre, Yercaud, Salem District, Tamil Nadu, India, PIN : 636602
Published: November 2021

Impatiens dendricola C. E. C. Fisch., earlier recorded from the Western Ghats of Karnataka and Kerala, is reported here as a new distributional record for Tamil Nadu. Brief taxonomic description and photograph is provided.
On the occurrence of Oeosporangium tenuifolium (Burm. f.) Fraser-Jenk. & Pariyar in the Western Himalaya, Uttarakhand, India
Authors:   Botanical Survey of India, Northern Regional Centre, 192, Kaulagarh Road, Dehradun, Uttarakhand, India, PIN : 248001, Kholia Bhupendra Singh , Fraser-Jenkins Christopher Roy ,   Rua de São Mateus 485 S/C Dt., Fontainhas, Cascais, Portugal, PIN : 2750-141, Punetha Nilambar ,   Botany Department, Govt. P.G. College, Pithoragarh, Uttarakhand, India, PIN : 2750-141, Singh Sushil Kumar ,   Botanical Survey of India, Northern Regional Centre, Dehradun, Uttarakhand, India, PIN : 248195
Published: November 2021

Based on a recent collection from Pithoragarh district, the present communication confirms the occurrence of a Cheilanthoid fern, Oeosporangium tenuifolium (Burm. f.) Fraser-Jenk. & Pariyar in Uttarakhand State in the western Himalaya in India.
Recent Changes and Corrections in the Taxonomy of Indian Pteridophytes: Part 2
Authors:   Rua de São Mateus 485 S/C Dt., Fontainhas, Cascais, Portugal, PIN : 2750-141, Fraser-Jenkins Christopher Roy , Kholia Bhupendra Singh ,   Botanical Survey of India, Northern Regional Centre, 192, Kaulagarh Road, Dehradun, Uttarakhand, India, PIN : 248001, Khandel Dhan Raj ,   Department of Plant Resources, National Herbarium and Botanical Laboratories, Godavary, Lalitpur, Kathmandu, Nepal, PIN : 248001
Published: November 2021

Taxonomic novelties and corrections to Indian Pteridophytes are given briefly here in taxonomic order according to the forthcoming Annotated Checklist of Indian Pteridophytes vol. 3, nearing completion for January 2021. We have divided it into two parts, the present second part is from the Appendix re corrections and additions to Families treated in vols. 1-2, especially concerning relevant publications that appeared subsequently to the two volumes. Further details of the taxa and references are given in vol. 3.
Adenosma (Plantaginaceae): A new Generic Record to the Flora of Telangana, India
Authors: Swamy Jetti
Published: November 2021

The genus Adenosma R.Br. is reported here as an addition to the Flora of Telangana, collected from Kinnerasani Wildlife Sanctuary, Telangana, India. The detailed description and photo plate is provided for easy identification.
An ecological appraisal of Pinus roxburghii Sarg. (Chir pine) and Shorea robusta Gaertn. (Sal) plantations in Doon valley
Authors:   Forest Soil Discipline, Forest Ecology and Climate Change Division, Forest Research Institute, Dehradun, Uttarakhand, India, PIN : 248006, Sivaranjani Subramanian , Panwar Vijender Pal ,   Forest Soil Discipline, Forest Ecology and Climate Change Division, Forest Research Institute, Dehradun, 248006, India, PIN : 248006
Published: November 2021

The present study focused on phyto-sociological and physico-chemical attributes of soil in Pinus roxburghii (Chir pine) and Shorea robusta (Sal) plantations in a reserved estate of New Forest, Dehradun. A total of 33 plant species comprising of 18 trees, 10 shrubs and five herbs were recorded from the study area. The tree density, in chir pine was lower 950 individuals/ ha as compared to 1073 individuals/ ha in sal vegetation. In saplings, high density was observed for Syzygium cumini (20 individuals/ 100m2) in sal followed by Broussonetia papyrifera (19 individuals/100m2) in chir pine plantation. Lantana camara, marked its presence with highest density (49 individuals/100 m2) in chir pine followed by Clerodendrum infortunatum (18 individuals/100 m2) in sal plantation. Higher tree basal cover (51 m2/ha) was recorded in sal than chir pine (19 m2/ha). Similarly, the tree diversity in sal was recorded higher (1.68) as compared to chir pine (1.51) plantation. Contrarily, sapling diversity was higher (2.81) in chir pine as compared to sal (2.52) plantation. Herbaceous flora was completely absent in sal plantation. Analysis of size class distribution revealed that sal trees (~ 29%) attained 21-30 cm diameter whereas chir pine trees (68%) were under 11-20 cm diameter class mainly due to preferred growing zone of the species and habitat suitability. The soil under chir pine was slightly acidic (5.98) with sandy loam texture. Soil was comparatively good with higher soil organic carbon (2.71%) under sal plantation mainly due to high humus deposition. It is suggested to restrict wide spread of Lantana camara in chir pine plantation for the better growth of the species and enhance nutrient availability.
Genetic Diversity among Calamus brandisii Becc. (Arecaceae) Populations in Kerala Part of Western Ghats
Authors: Priya Kavungal , Indira  , Sreekumar Vadakkethil , Renuka
Published: November 2021

Calamus brandisii Becc. is one of the endemic slender rattans found in the Western Ghats of India. The genetic diversity of two main populations available in Kerala was investigated using 20 RAPD and 9 ISSR markers. Two parameters viz., gene diversity and genetic diversity within and among populations were analyzed. ISSR analysis showed quite high genetic diversity in Pandimotta compared to Bonacaud population whereas in RAPD markers both these populations were moderately diverse. The percentage of total genetic differentiation (Gst) among two populations is relatively higher than the mean Gst value indicating high genetic diversity within the populations. The genetic distance between these two populations was 0.1739 with ISSR markers and 0.1971 with RAPD markers. Because of its high genetic diversity, Pandimotta population can be treated as an important population of gene diversity with potentially useful genes. This may be included in the high priority reservoir for genetic conservation also.
Oldenlandia umbellata L. (Rubiaceae): An Addition to the Flora of Andaman and Nicobar Islands, India
Authors: Naik Mudavath , Singh Lal , Ekka Gautam
Published: November 2021

Oldenlandia umbellata L. (Rubiaceae) is reported here as addition to the flora of Andaman and Nicobar Islands. A brief note on its taxonomy and distribution is presented along with its diagnostic characters for easy identification.
A New Similarity Measure of Picture Fuzzy Sets And Application in pattern recognition
Authors:   Faculty of Information Technology, Vietnam National University of Agriculture, Vietnam, Thao Ngoc Minh Chau, Nguyen Thi Lan, Nguyen Xuan
Published: November 2021

In this paper, we propose some novel similarity measures between picture fuzzy sets. The novel similarity measure is constructed by combining negative functions of each degree membership of picture fuzzy set. We apply them in several pattern recognition problems. Finally, we apply them to find the fault diagnosis of the steam turbine.
The role of financial institutions in supporting entrepreneurial success: Case of Egypt
Authors:   Assistant Professor of Business Administration  Faculty of Business Administration Delta University * Costal International Road, Mansoura, Gamasa City, Dakhliya, Egypt, Metawea Maha Saad
Published: November 2021

This paper investigates the Role of financial institutions in supporting entrepreneurial success in one of a very important emerging economy in the Middle East, Egypt. Also focuses on different tools used by either governmental or non-governmental agencies that contributes to help entrepreneurs starting their jobs, and as a result, achieving the sustainable development goals (SDGs). Throughout the paper, reports various documents and academic literature were presented to determine the different types of sustainable development financing instruments available. Moreover, the various financial services provided by governmental and nongovernmental sectors are reviewed. Also, different types of challenges that may face entrepreneurs are also discussed. The interrelationships among those agencies as well as other technical support agencies are formulated in an integrated framework that describes the nature and direction of those relationships for the purpose of providing an adequate support to Egyptian entrepreneurs in various economic sectors.
A new way of Reaching consumers: the Role of Marketing Related Mobile Factors on the Consumers' Acceptance of Multichannel Mobile Marketing
Authors:   Faculty of Technology and Development, Zagazig University, Egypt, Elsayaad Alaa  Elsayed
Published: November 2021

This research investigates factors that may affect the level of acceptance of mobile marketing and determines if there is a relationship between these factors and the level of acceptance of mobile marketing. It separately investigates the most influential factors affecting the level of acceptance. This research was to investigate as well if there were differences in the readiness of undergraduate students regarding acceptance and factors leading to acceptance in terms of gender, age, education, and place. The research depends upon a sample of undergraduate students studying in universities. The researcher employed statistical techniques such as descriptive, correlation analysis, linear multiple regression, one-way Anova, and the post hoc test. The main findings from this research are that factors affecting acceptance were related to the level of acceptance of mobile marketing in the research field of reality. There is a significant difference between undergraduate students regarding factors affecting acceptance of mobile marketing; also there is a significant difference between undergraduate students regarding their readiness of acceptance in terms of some demographic characteristics.
An Optimal Clustering with Hybrid Metaheuristic Algorithm for Sentiment Analysis and Classification
Authors:   Mechatronics Department, Faculty of Engineering, Horus University in Egypt (HUE), Egypt, Hassan Mohammed K. ,   Accounting Department, Faculty of Commerce, Kafr El Sheikh University, Egypt,   Accounting Department, Faculty of Commerce, Mansoura University, Egypt,   Dassault Systemes Deutschland GmbH, Meitnerstraße 8, 70563 Stuttgart, Germany, Hassan Dina K. , Metawee Ahmed K. , Hassan Bassem
Published: November 2021

Sentimental Analysis (SA) becomes a familiar topic among business people, which is commonly applied for the classification of sentiments from online reviews. It is generally treated as a sentiment classification (SC) problem where the online reviews are categorized into positive or negative polarities using the words that exist in the online reviews. With this motivation, this paper presents a new K-means clustering with hybrid metaheuristic algorithm (KMC-HMA) for SA and classification. The proposed KMC-HMA technique initially performs data preprocessing to remove the unwanted words from the product reviews. In addition, K-means clustering technique is used for the clustering of the massive quantity of the applied product reviews. Moreover, the clustered data are fed into the classification model based on hybrid ant colony optimization (ACO) with dragonfly algorithm (DFA). The ACO algorithm is used for the classification of product reviews and the performance of the ACO algorithm can be optimally tuned by the use of DFA. The performance validation of the KMC-HMA technique is validated using two datasets such as Canon and ipod. The experimental values pointed out the superior performance of the KMC-HMA technique over the recent state of art techniques.
Intelligent Optimal Deep Learning based Customer Churn Prediction Model in Telecom Industry
Authors:   Ascencia Business School, College de Paris, France, Shakir Taif Khalid ,   American University in the Emirates, Dubai, United Arab Emirates, Masri Ahmed N. Al
Published: November 2021

Customer churn prediction (CCP) is a crucial problem in telecom industry which helps to improve the revenue of the company and prevent the loss of customers. Customer churn is an important issue in service sector with highly competitive services. At the same time, the prediction of users who are probably leaving the company can be identified at an earlier stage to prevent loss of revenue. Several works have used machine learning (ML) techniques for predicting the existence of customer churn in different industries. With this motivation, this paper presents an optimal long, short-term memory with stacked autoencoder (OLSTM-SAE) technique for CCP in telecom industry. The OLSTM-SAE technique encompasses three subprocesses namely preprocessing, classification, and parameter optimization. The OLSTM-SAE technique classifies the preprocessed data into churn and non-churn customers. In addition, the grey wolf optimization (GWO) technique is used to adjust the variables involved in the LSTM-SAE model. For examining the enhanced performance of the OLSTM-SAE technique, an extensive simulation analysis takes place, and the outcomes are inspected with respect to various measures. The experimental results highlighted the betterment of the OLSTM-SAE technique in terms of different evaluation parameters.
Dragonfly Algorithm with Gated Recurrent Unit for Cybersecurity in Social Networking
Authors:   North China University of Science and Technology, China, Han Yutao ,   Faculty of Computers and Information, Mansoura University, Egypt,   Northwest Normal University, China, EL-Hasnony Ibrahim M. , Cai Wenbo
Published: November 2021

The advancements of information technologies and wireless networks have created open online communication channels. Inappropriately, trolls have abused the technologies to impose cyberattacks and threats. Automated cybersecurity solutions are essential to avoid the threats and security issues in social media. This paper presents an efficient dragonfly algorithm (DFA) with gated recurrent unit (GRU) for cybersecurity in social networking. The proposed DFA-GRU model aims to determine the social networking data into neural statements or insult (cyberbullying) statements. Besides, the DFA-GRU model primarily undergoes preprocessing to get rid of unwanted data and TF-IDF vectorizer is used. In addition, the GRU model is employed for the classification process in which the hyperparameters are optimally adjusted by the use of DFA, and thereby the overall classification results get improved. The performance validation of the DFA-GRU model is carried out using benchmark dataset and the results are examined under varying aspects. The experimental outcome highlighted the enhanced performance of the DFA-GRU model interms of distinct measures.
A New Method for Web Service Recommendation Based on QoS Prediction
Authors:   Information Technology Department, Faculty of Computers and Information, Mansoura University, Egypt, Salam Mahmoud A.
Published: November 2021

As service-oriented architecture gains in popularity and grows in popularity, Web service recommendation and composition have become more important topics for research. Accurately predicting individualized QoS recommendations for recommending web services is a difficult task because of the inconsistency of the Internet and the scarcity of information regarding QoS history. Our team suggests a new framework for QoS values’ prediction and also presents two methods for clustering, User_BC and Service_BC, to support QoS prediction accuracy. Hierarchical clustering is used, based on the QoS dataset of PlanetLab1 (that) contains 200 service-user response time values, with 1,597 service values overall. In our research, we've found that our clustering-based methods beat other popular algorithms in detailed experimental comparisons and analyses.
A Survey on Meta-heuristic Algorithms for Global Optimization Problems
Authors:   Department of Operations Research, Faculty of Computers and Informatics, Zagazig University, Egypt, Zaied Abdel Nasser H. ,   Department of Operations Research, Faculty of Computers and Informatics, Zagazig University, Egypt, Ismail Mahmoud ,   Department of Operations Research, Faculty of Computers and Informatics, Zagazig University, Egypt, El-Sayed Salwa
Published: November 2021

Optimization is a more important field of research. With increasing the complexity of real-world problems, the more efficient and reliable optimization algorithms vital. Traditional methods are unable to solve these problems so, the first choice for solving these problems becomes meta-heuristic algorithms. Meta-heuristic algorithms proved their ability to solve more complex problems and giving more satisfying results. In this paper, we introduce the more popular meta-heuristic algorithms and their applications in addition to providing the more recent references for these algorithms.
Improving the Security and Authentication of the Cloud with IoT using Hybrid Optimization Based Quantum Hash Function
Authors:   Department of Computer Applications, Alagappa University, Karaikudi, India, Shankar K.
Published: November 2021

The security with the protection of IoT is to stay a consequential test, for the most part, because of the huge scale and dispersed nature of IoT systems. A cloud server brings wide pertinence of IoT in numerous businesses just as Government parts. Be that as it may, the security concerns, for example, verification and information protection of these gadgets assume a key job in fruitful coordination of two innovations. To build the security here, a quantum hash work system and hybrid cuckoo search-Artificial Bee Colony algorithm is displayed. A quantum hash work has been presented as an amazing system for secure correspondence of IoT and cloud because of its irregular disordered robust execution, greater affectability for introductory authority dimension, steadiness, and the exceptionally huge crucial area is hypothetically sufficiently able to oppose different known assaults. Cloud servers utilizing CS-ABC to upgrading the safe calculations through a quantum channel inside the cloud framework. Execution examinations and recreation outcomes demonstrate our presented methods are portrayed and also have greater safety, proficiency with strength opposed to a few surely understood assaults which choose them as a great contender for verifying cloud and IoT applications.
Characterizing wavelet coefficients with decomposition for medical images
Authors:   Applied Science Department, University of Technology, Baghdad, Iraq,, Eleiwy Jabbar Abed
Published: November 2021

In this paper, applications Discrete Laguerre Wavelet Transform were used where satisfactory results were obtained, where the efficiency of our proposed theory was proved, and the examples used will prove this. Three physical samples were selected that were compressed using the proposed wavelets, and good results were obtained that prove the efficiency of the method used. Three physical samples were selected that were compressed using the proposed wavelets, and good results were obtained that prove the efficiency of the method used.
Smart Grid: A Survey of Architectural Elements, Machine Learning and Deep Learning Applications and Future Directions
Authors:   University of Colombo, SRILANKA, .. Navod Neranjan ,   University of Colombo, SRILANKA,   Charles Sturt University, AUSTRALIA,   Stamford international university, THAILAND,   Gomal University, PAKISTAN;, .. Rohan , .. Mohan Krishna , .. Surekha , Ahmad Hussain
Published: November 2021

In the 21st century, the Smart Grid (SG), also known as the next-generation power grid, arose as a substitute for inefficient power systems, ensuring a reliable and efficient power supply. It is projected to improve the reliability and efficiency of energy distribution while having minimal side effects because it is coupled with modern communication and computation capabilities. The huge infrastructure it possesses, as well as the system's underlying communication network, has resulted in a large number of data that necessitates the use of diverse approaches for proper analysis and decision making. When it comes to analyzing this huge amount of data and generating significant insights from it, big data analytics, machine learning (ML), and deep learning (DL), all play a key role. These insights are useful for anomaly detection, fraud detection, price confirmation, fault detection, monitoring energy consumption, and so on. Hence constant and continuous data analysis is an essential part, of the modern smart grid, for its existence. Inspired by providing a reliable and efficient energy distribution, this paper explores and surveys the smart grid architectural elements, ML and DL based applications, and approaches in the context of SG. In addition in terms of ML and DL based data analytics, this paper highlights the limitations of the current research and, highlights future directions as well.
Intelligent System for Ranking Big Data in Search Engine
Authors:   Faculty of Computers and Information, Mansoura University, Egypt, .. M.M.El ,   Faculty of Computers and Information, Mansoura University, Egypt, EL-Hasnony M. EL
Published: November 2021

The spread of Internet sources has increased the volume of big data that is difficult to handle in traditional ways. So, most users need modern search systems to facilitate the search and retrieval of information in the presence of big data. However, the main challenge in the first and second conventional generations of search engines are linking different web data based on the syntax of keywords not on the semantic meaning and without a knowledge base. This manuscript proposes a framework based on modern technologies such as ETI processes, ontology graphs, and indexing RDF using wide column NoSQL technique. The main contribution of our work is introducing a mathematical model that is used to calculate the similarity score between a query and stored RDF documents based on semantic relations. Various operations were carried out to measure the proposed model's efficiency using data sources such as DBpedia, YAGO dataset. According to experimental results, the proposed model is achieving high precision compared to other related systems.
Intelligent system for IoT botnet detection using SVM and PSO optimization
Authors:   Faculty of Computers and Information, Mansoura University, Egypt, Salam Mahmoud A.
Published: November 2021

Botnet attacks involving Internet-of-Things (IoT) devices have skyrocketed in recent years due to the proliferation of internet IoT devices that can be readily infiltrated. The botnet is a common threat, exploiting the absence of basic IoT security technologies and can perform several DDoS attacks. Existing IoT botnet detection methods still have issues, such as relying on labeled data, not being validated with newer botnets, and using very complex machine learning algorithms, making the development of new methods to detect compromised IoT devices urgent to reduce the negative implications of these IoT botnets. Due to the vast amount of normal data accessible, anomaly detection algorithms seem to promise for identifying botnet attacks on the Internet of Things (IoT). For anomaly detection, the One-Class Support vector machine is a strong method (ONE-SVM). Many aspects influence the classification outcomes of the ONE-SVM technique, like that of the subset of features utilized for training the ONE-SVM model, hyperparameters of the kernel. An evolutionary IoT botnet detection algorithm is described in this paper. Particle Swarm Optimization technique (PSO) is used to tune the hyperparameters of the ONE-SVM to detect IoT botnet assaults launched from hacked IoT devices. A new version of a real benchmark dataset is used to evaluate the proposed method's performance using traditional anomaly detection evaluation measures. This technique exceeds all existing algorithms in terms of false positive, true positive and rates, and G-mean for all IoT device categories, according to testing results. It also achieves the shortest detection time despite lowering the number of picked features by a significant amount.
Intelligent Fault Diagnosis of Gears Based on Deep Learning Feature Extraction and Particle Swarm Support Vector Machine State Recognition
Authors:   American University in the Emirates, Dubai, UAE, Al-Masri Ahmed N. Al ,   LTU University of Technology, Sweden, Mokayed Hamam
Published: November 2021

Gear faults have always been a problem encountered in mechanical processing. For gear fault diagnosis, using mathematical-statistical feature extraction methods, deep learning neural networks (DLNN), particle swarm algorithm (PSA), and support vector machines (SVM), etc. According to the feature extraction of deep learning and particle swarm SVM state recognition, the intelligent diagnosis model is established, and the reliability of the model is verified by experiments. The model uses the combination of spectral features extracted by deep learning adaptively and the time domain features extracted by mathematical statistics methods to form a joint feature vector and then uses particle swarm SVM to diagnose the joint feature vector. After research, this paper draws a classification fitness curve combining the fault spectrum features extracted by DLNN and traditional time-domain statistical features. The classification result obtained by using this method is 95.3%. The reliability of the model is verified, and satisfactory diagnosis results are obtained. In addition, the application results also verify the effectiveness of adaptively extracting spectral features based on deep learning.
From the Wireless Sensor Networks (WSNs) to the Web of Things (WoT): An Overview
Authors:   Faculty of Computers and Information, Minia University, Egypt., Younan Mina ,   Faculty of Computers and Artificial Intelligence, Cairo University, Egypt,   Faculty of Computers and Artificial Intelligence, Cairo University, Egypt, Khattab Sherif , Bahgat Reem
Published: November 2021

In the last two decades, Wireless Sensor Networks (WSNs) are gaining more popularity, where the concept of WSN always exists when everything connects. Almost of WSN applications cover wide area and large spaces for assessing and monitoring certain phenomenon. Moreover, WSN components have been integrated in daily life objects or things (object, place, and person), so that they could be monitored and controlled. As a result, a new paradigm called the Internet of Things (IoT) connects WSN components to the Internet to be globally monitored and controlled representing the surrounding environmental events and conditions. The future IoT is called the Web of Things (WoT), which visualizes the IoT data (sensory data) using current web tools and services (HTTP, RESTful services). This paper presents an overview of the WSNs, the IoT and its future paradigm (WoT) discussing key elements, main layers, main challenges, and annotation formats.
Intelligent Image Detection System Based on Internet of Things and Cloud Computing
Authors:   Higher Colleges of Technology (HCT), UAE, admin admin ,   Electrical Engineering Department, Ecole de technologie superieure, Montreal, Canada, Algrnaodi Mhmed
Published: November 2021

Images are the most intuitive way for humans to perceive and obtain information, and they are one of the most important sources of information. With the development of information technology, the use of digital image processing methods to locate and identify targets is widely used, so it is particularly important to detect the targets of interest quickly and accurately in the image. The traditional image detection system has the problems of low detection accuracy, long time consumption, and poor stability. Therefore, this paper proposes the design and research of artificial intelligence image detection system based on Internet of Things and cloud computing. The system designed in this article mainly includes three links, namely: image processing analysis design link in cloud computing environment, image feature collection module design link, and image integration detection link. The main technologies used in image processing and analysis in the cloud computing environment are virtualization technology, distributed massive data storage, and distributed computing. In the image feature collection module, before the image is input to the neural network, it is necessary to perform preprocessing operations on the distorted image and perform perspective correction; then use the deep residual network in deep learning to extract features. Finally, there is the image integration detection link. First, the target category judgment and position correction are performed on the regions generated by the candidate region generation network, and then the integrated image detection is performed through the improved target detection method based on the frame difference method. Through simulation experiments, compared with the traditional image detection system, the speed advantage of the artificial intelligence image detection system designed in this paper is obvious in the case of a large increase in the number of images. On images at different pixel levels, the accuracy of the image detection system proposed in this paper is always higher than that of traditional image detection systems, and the CPU usage and memory usage are at a lower level. In addition, within three months, the stability is also at a relatively high level of 0.9.
Intelligent Web Information Extraction Model for Agricultural Product Quality and Safety System
Authors:   Faculty of Information Science and Engineering, Management and Science University, Malaysia, Tofigh Mohammad Ali ,   Jiangxi University of Technology, Nanchang 330098, Jiangxi, China, Mu Zhendong
Published: November 2021

With the development of society, people pay more and more attention to the safety of food, and relevant laws and policies are gradually introduced and being improved. The research and development of agricultural product quality and safety system has become a research hot spot, and how to obtain the Web information of the system effectively and quickly is the focus of the research, so it is essential to carry out the intelligent extraction of Web information for agricultural product quality and safety system. The purpose of this paper is to solve the problem of how to efficiently extract the Web information of the agricultural product quality and safety system. By studying the Web information extraction methods of various systems, the paper makes a detailed analysis and research on how to realize the efficient and intelligent extraction of the Web information of the agricultural product quality and safety system. This paper analyzes in detail all kinds of template information extraction algorithms used at present, and systematically discusses a set of schemes that can automatically extract the Web information of agricultural product quality and safety system according to the template. The research results show that the proposed scheme is a dynamically extensible information extraction system, which can independently implement dynamic configuration templates according to different requirements without changing the code. Compared with the general way, the Web information extraction speed of agricultural product quality safety system is increased by 25%, the accuracy is increased by 12%, and the recall rate is increased by 30%.
Computer Network Design for the teaching area of the Elvira Cape library
Authors:   University of Computer Sciences, Havana, CUBA, Izquierdo Yackelyn Dayanys Domínguez
Published: November 2021

Interconnected devices have provided companies and individuals with the advantage that information travels from one place to another, making information processes more viable. The interconnection networks are responsible for providing everything necessary for the machine to have an adequate passage of messages and use of commutations. In this document a design of a LAN network is developed for the area of ​​a library which needs to expand its communication network, thus forming a computer network to connect different types of computers sharing information links. These data links are established through means such as cable, optical cables, or wireless means such as WIFI.
INTERRELAÇÕES ENTRE SUJEITOS AFÁSICOS, LINGUAGEM E DIFERENTES LESÕES CEREBRAIS
Authors: Duque Anna Clara Mota
Published: November 2021

Vários estudos, desde a antiguidade, buscaram explicar e demonstrar a relação da área cerebral lesionada com os “sintomas” dos afásicos. A literatura específica, destacando-se Luria (1981), discute essa questão ao analisar as lesões de soldados feridos em guerra. Este estudo está ancorado nos pressupostos da Neurolinguística Discursiva e tem, como base, os estudos de Luria (1981) acerca do funcionamento do sistema nervoso central. O objetivo deste trabalho é o de analisar as manifestações linguísticas em afásicos, correlacionando-as com o tipo de lesão apresentada pelos participantes da pesquisa e os aspectos individuais de cada sujeito, além de caracterizar o tipo de afasia, dentro da perspectiva Luriana. Além disso, esta pesquisa realizou a identificação das similaridades e diferenças acerca dos quadros afásicos apresentados pelos informantes. A análise foi realizada em sujeitos inseridos no Programa de Atenção Domiciliar e indivíduos oriundos do hospital privado - Instituto Brandão de Reabilitação (IBR), na cidade de Vitória da Conquista/BA. Durante as avaliações, foram descritas as produções de linguagem de cada sujeito, considerando idade, gênero, nível de escolaridade, profissão e aspectos psicossociais, sendo adotada, para este estudo, uma análise de caráter qualitativo. Esta pesquisa foi realizada com um total de 08 sujeitos, dentre os quais foram classificados os tipos de afasias, equiparando o tipo de lesão com a manifestação de linguagem apresentada por cada sujeito, descrevendo as suas similaridades e diferenças entre os participantes da pesquisa e descrições da classificação das afasias, segundo os postulados de Luria (1981). Ao longo deste trabalho, pode-se observar que existem vários conflitos no que tange às classificações das afasias, tanto no que diz respeito às questões de localização, como à relação direta e esperada para as suas manifestações linguísticas. Assim, esta pesquisa buscou demonstrar a importância de uma avaliação cuidadosa que leve em conta, em primeiro lugar, o sujeito e suas manifestações linguísticas, e que analise, detalhadamente, tanto as suas dificuldades, quanto o seu potencial, demonstrando que as produções linguísticas nem sempre serão compatíveis com a área lesada. Além disso, mesmo quando dois sujeitos apresentam a mesma lesão, podem apresentar manifestações diferentes, pois cada sujeito tem uma história de vida, com atuações muito diferentes, em relação ao seu funcionamento de linguagem.
 
Como citar:
DUQUE, Anna Clara Mota. Interrelações entre sujeitos afásicos, linguagem e diferentes lesões cerebrais.  Orientadora: Carla Salati Almeida Ghirello-Pires.  2015. 91f. Dissertação (mestrado em Linguística) – Universidade Estadual do Sudoeste da Bahia, Programa de Pós-graduação em Linguística, Vitória da Conquista, 2015. DOI:https://doi.org/10.54221/rdtdppglinuesb.2015.v3i1.52 . Acesso em: xxxxxxxx
ESTUDO COMPARATIVO ENTRE AS NORMAS POPULAR E CULTA DO PORTUGUÊS DE VITÓRIA DA CONQUISTA: CONCORDÂNCIA NOMINAL DE NÚMERO
Authors: Meira Gilberto Almeida
Published: November 2021

Nesta pesquisa, investigamos o fenômeno da variação na concordância nominal de número no português culto de Vitória da Conquista por meio de um registro sistematizado da fala dos informantes à luz da Teoria da Variação e Mudança. Objetivamos, com isso, realizar um estudo comparativo entre os dados por nós analisados e os dados analisados por Guimarães (2014), referentes ao português popular. Para uma melhor compreensão do funcionamento do objeto pesquisado, julgamos relevante controlar as seguintes variáveis estruturais: posição linear do constituinte, posição do constituinte com referência ao núcleo do sintagma nominal (doravante SN), classe gramatical do constituinte e saliência fônica; assim como as variáveis sociais: faixa etária, sexo e escolaridade. Os dados da análise foram extraídos dos corpora PPVC e PCVC (Corpus do Português Popular de Vitória da Conquista e Corpus do Português Culto de Vitória da Conquista, respectivamente), constituídos pelos Grupos de Pesquisa em Linguística Histórica e em Sociofuncionalismo da Universidade Estadual do Sudoeste da Bahia – UESB. Utilizamos amostras de fala de 12 (doze) informantes do português culto cujos resultados foram comparados com os dados de 12 (doze) falantes do português popular. A análise quantitativa dos nossos dados envolveu um total de 2.205 constituintes sintagmáticos nominais submetidos ao programa estatístico Goldvarb. Já em relação ao português popular, Guimarães (2014) analisou 2.979 dados. Em face da atuação das variáveis linguísticas e extralinguísticas sobre o fenômeno por nós investigado, julgamos necessário proceder à análise a partir daquelas mesmas variáveis que foram selecionadas pelo programa como significativas, do ponto de vista estatístico a fim de chegarmos a resultados muito mais conclusivos. Assim sendo, nossa análise recaiu sobre as seguintes variáveis independentes: posição linear do constituinte, posição do constituinte com referência ao núcleo do SN, classe gramatical do constituinte, saliência fônica, sexo, escolaridade e faixa etária. Esperamos, com a presente pesquisa, mostrar como é realizada a concordância nominal de número no SN entre informantes da norma culta na comunidade de fala de Vitória da Conquista, bem como evidenciar, com base na análise das variáveis linguísticas e extralinguísticas, quais delas mais favorecem a aplicação da regra formal da concordância nominal de número.
 
Como citar:
MEIRA, Gilberto Almeida. Estudo comparativo entre as normas popular e culta do português de Vitória da Conquista: concordância nominal de número.  Orientador: Jorge Augusto Alves da Silva. Coorientadora: Valéria Sousa Viana. 2015. 131f. Dissertação (mestrado em Linguística) – Universidade Estadual do Sudoeste da Bahia, Programa de Pós-graduação em Linguística, Vitória da Conquista, 2015. DOI: https://doi.org/10.54221/rdtdppglinuesb.2015.v3i1.59 . Acesso em: xxxxxxxx
POSIÇÃO-SUJEITO UTÓPICO E EFEITOS-SENTIDO
Authors: Amorim Mayara Archieris
Published: November 2021

Neste trabalho, apresentamos o resultado da pesquisa que teve como objetivo investigar o movimento discursivo da passagem do sujeito pragmático Marina Silva para a posição-sujeito utópico, e, portanto, sujeito do discurso, e os efeitos-sentido que se constituem nessa posição-sujeito, inscritos numa rede de memória discursiva. O corpus da pesquisa foi construído por pesquisadores (professores, alunos de IC, mestrandos e doutorandos) do Grupo de Pesquisa em Análise de Discurso (GPADis/UESB/CNPq) e faz parte do banco de dados do Laboratório de Pesquisa em Análise de Discurso (LAPADis/Uesb), constituído de textos que circulam em diferentes suportes midiáticos sobre a mulher que atua nas esferas de poder político do Brasil: executivo, legislativo e judiciário. Operamos um recorte de sequências discursivas (SD) que discursivizam sobre o sujeito pragmático Marina Silva, candidata a presidente da República do Brasil, nas eleições de 2010 e 2014, que julgamos pertinentes, e construímos o corpus discursivo sobre o qual operamos o processo analítico. Na análise, mobilizamos conceitos do quadro teórico da Análise de Discurso (AD), inaugurada por Pêcheux, e dialogamos com áreas do campo das ciências humanas, sociais e aplicadas para mostrar o funcionamento da posição-sujeito utópico e o deslizamento dos sentidos como efeitos em diferentes campos. Os resultados indicaram o funcionamento da posição-sujeito-utópico imbricada com três efeitos-sentido: efeitos-sentido de utopia, efeito-sentido de sonho e efeito-sentido de princípio.
 
Como citar:
AMORIM, Mayara Archieris. Posição-sujeito utópico e efeitos-sentido.  Orientadora: Maria da Conceição Fonseca-Silva.  2015. 94f. Dissertação (mestrado em Linguística) – Universidade Estadual do Sudoeste da Bahia, Programa de Pós-graduação em Linguística, Vitória da Conquista, 2015. DOI: https://doi.org/10.54221/rdtdppglinuesb.2015.v3i1.67. Acesso em: xxxxxxxx
BAGIAN WARISAN BAGI ANAK ANGKAT MENURUT KETENTUAN HUKUM ISLAM DAN HUKUM POSITIF DI INDONESIA
Authors: Muljohadi R. Arif
Published: November 2021

Salah satu tujuan utama dari perkawinan adalah untuk menyambung keturunan. Akan tetapi tidak semua pasangan suami isteri dapat memiliki anak. Ketidakberadaan anak dapat menjadi salah satu pemicu ketidakharmonisan hubungan rumah tangga. Sehingga untuk mempertahankan keutuhannya, suami isteri melakukan pengangkatan anak. Dalam pengangkatan anak tentu akan menimbulkan akibat hukum. Terlebih lagi di dalam hukum di Indonesia, pengangkatan anak dilakukan menurut hukum Islam, hukum Adat (hukum Adat yang dimaksud adalah hukum Adat Jawa Tengah), dan hukum Perdata. Dimana ketiga sistem hukum tersebut tentu saja akan menimbulkan akibat hukum yang berbeda-beda. Akibat hukum tersebut berkaitan dengan status dan kedudukan anak angkat yang meliputi hubungan keluarga, hubungan perwalian, hubungan waris, serta hubungan-hubungan lainnya. Mengenai hubungan waris, di Indonesia masih bersifat pluralisme diantaranya hukum waris Islam, hukum waris Adat dan hukum waris dalam Kitab Undang-Undang Hukum Perdata. Sehingga dengan beragamnya hukum waris yang berlaku tersebut, turut menyebabkan perbedaan terhadap bagian waris yang diperoleh anak angkat.
PRINSIP DASAR METODE PENGAJARAN BAHASA ARAB
Authors: Djalaluddin H. M.
Published: November 2021

Ada tiga prinsip dasar dalam pengajaran bahasa Arab, yaitu prinsip prioritas dalam proses penyajian materi ajar, prinsip koreksitas dan umpan balik, prinsip bertahap dalam penyampaian materi kepada peserta didik.Ada beberapa langkah aplikasi yang diperlukan dalam pengajaran bahasa Arab, agar teknik penyampaian materi berhasil dan dapat terlaksana, yaitu: Memberikan contoh sebelum memberikan kaidah gramatika, memberikan contoh kalimat yang biasa dipakai sehari-hari, dan memberikan motivasi yang cukup untuk berekspresi melalui tulisan, lisan bahkan mungkin ekspresi wajah, agar meraka merasa terlibat langsung dengan proses pengajaran yang berlangsung.Ada dua macam metode pengajaran bahasa Arab, yaitu: pertama, metode tradisional, yaitu metode pengajaran bahasa yang terfokus pada “bahasa sebagai budaya ilmu” sehingga belajar bahasa Arab berarti belajar secara mendalam tentang seluk-beluk ilmu bahasa Arab itu sendiri. Dan kedua, metode modern, yaitu metode pengajaran yang berorientasi pada tujuan bahasa sebagai alat komunikasi dalam kehidupan modern.
Relationship of surface soil temperature on rice (Oryza sativa L.) yield under high density planting in tropics of India
Authors: S. MOHAN KUMAR , N. THAVAPRAKAASH
Published: November 2021

Rice is one of the most important food crops of India. Soil temperature is an important weather parameter and changes in soil temperature may influence the rice yield. To study this impact, a field experiment was conducted during the late Samba (September-January) season of 2018-19 at Tamil Nadu Agricultural University, Coimbatore. The experiment was arranged in Randomised Complete Block Design with three replications. The surface soil temperature was recorded at weekly interval from 13 Days after transplanting (DAT) to 111 DAT during four time intervals (0600 hrs, 1000 hrs, 1400 hrs and 1800 hrs) of day at weekly interval. The result revealed that surface soil temperature was higher in closer spacing levels during 0600 hrs and 1000 hrs compared to all other wider spacing levels. However, at 1400 hrs and 1800 hrs, surface soil temperature was maximum in widely planted rice plants. The grain yield of rice was higher in wider planted treatments compared to closer spacing planted rice. Correlation between soil temperature and yield during early hours (0600 hrs and 1000 hrs) was negative, but was positive in later hours (1400 hrs and 1800 hrs).