bluuebunny/crossref_metadata_2025 huggingface dataset:
A Holistic Review of the Present and Future Drivers of the Renewable Energy Mix in Maharashtra, State of India
Authors: Madurai Elavarasan Rajvikram , Selvamanohar Leoponraj , Raju Kannadasan , Rajan Vijayaraghavan Raghavendra , Subburaj Ramkumar , Nurunnabi Mohammad , Khan Irfan Ahmad , Afridhis Syed , Hariharan Akshaya , Pugazhendhi Rishi , Subramaniam Umashankar , Das Narottam
Published: August 2020

A strong energy mix of Renewable Energy Sources (RESs) is needed for sustainable development in the electricity sector. India stands as one of the fastest developing countries in terms of RES production. In this framework, the main objective of this review is to critically scrutinize the Maharashtra state energy landscape to discover the gaps, barriers, and challenges therein and to provide recommendations and suggestions for attaining the RES target by 2022. This work begins with a discussion about the RES trends in various developing countries. Subsequently, it scrutinizes the installed capacity of India, reporting that Maharashtra state holds a considerable stake in the Indian energy mix. A further examination of the state energy mix is carried out by comparing the current and future targets of the state action plan. It is found that the installed capacity of RESs accounts for about 22% of the state energy mix. Moreover, the current installed capacity trend is markedly different from the goals set out in the action plan of the state. Notably, the installed capacity of solar energy is four times less than the target for 2020. Importantly, meeting the targeted RES capacity for 2022 presents a great challenge to the state. Considering this, an analysis of the state’s strengths, barriers, and challenges is presented. Moreover, strong suggestions and recommendations are provided to clear the track to reach the desired destination. This can be useful for the government agencies, research community, private investors, policymakers, and stakeholders involved in building a sustainable energy system for the future.
Hydrological Effects of Urban Green Space on Stormwater Runoff Reduction in Luohe, China
Authors: Song Peihao , Guo Jianhui , Xu Enkai , Mayer Audrey L. , Liu Chang , Huang Jing , Tian Guohang , Kim Gunwoo
Published: August 2020

This paper reveals the role of urban green space (UGS) in regulating runoff and hence on urban hydrological balance. The modeling software i-Tree Hydro was used to quantify the effects of UGS on surface runoff regulation and canopy interception capacity in four simulated land-cover scenarios. The results showed that the existing UGS could mitigate 15,871,900 m3 volume of runoff (accounting for 9.85% of total runoff) and intercept approximately 9.69% of total rainfall by the vegetation canopy. UGS in midterm goal and final goal scenarios could retain about 10.74% and 10.89% of total rainfall that falls onto the canopy layer, respectively. The existing UGS in the Luohe urban area had a positive but limited contribution in runoff regulation, with similar responses in future scenarios with increased UGS coverage. UGS rainfall interception volume changed seasonally along with changing leaf area index (LAI) and precipitation, and the interception efficiency was distinctly different under various rain intensities and durations. The UGS had a relatively high interception performance under light and long duration rain events but performed poorly under heavy and short rain events due to limited surface storage capacities. Our study will assist urban planners and policy-makers regarding UGS size and functionality in future planning in Luohe, particularly regarding future runoff management and Sponge City projects.
Characteristics of Soil Moisture and Evaporation under the Activities of Earthworms in Typical Anthrosols in China
Authors: Ma Li , Shao Ming’an , Li Tongchuan
Published: August 2020

Earthworms have an important influence on the terrestrial ecological environment. This study assesses the effect of different earthworm densities on soil water content (SWC) and evaporation in a laboratory experiment. Four earthworm densities (0 no-earthworm, control [C]; 207 earthworms m−2, low density [LDE]; 345 earthworms m−2, medium density [MDE]; and 690 earthworms m−2, high density [HDE]) are tested in soil columns. Results show that cumulative evaporation occurs in the decreasing order of densities: C (98.6 mm) > LDE (115.8 mm) > MDE (118.4 mm) > HDE (124.6 mm). Compared with the control, earthworm activity decreases cumulative soil evaporation by 5.0–20.9%, increases soil temperature to 0.46 °C–0.63 °C at 8:00, and decreases soil temperature to 0.21 °C–0.52 °C at 14:00 on the soil surface. Temperature fluctuations reduce with increasing earthworm densities. A negative correlation is found between cumulative soil evaporation and earthworm density (R2 = 0.969, p < 0.001). Earthworms significantly (p < 0.05) decrease the surface SWC loss (0–20 cm) soil layer but increase the subsoil SWC loss (60–100 cm) by adjusting the soil temperature and reducing soil water evaporation. Earthworm activities (burrows, casts…) improve the soil water holding ability by adjusting soil temperature and reducing soil water evaporation. Thus, the population quantity of earthworms may provide valuable ecosystem services in soil water and heat cycles to save water resources and realize sustainable agricultural development.
A Modified Median String Algorithm for Gene Regulatory Motif Classification
Authors: Kaysar Mohammad Shibli , Khan Mohammad Ibrahim
Published: August 2020

Consensus string is a significant feature of a deoxyribonucleic acid (DNA) sequence. The median string is one of the most popular exact algorithms to find DNA consensus. A DNA sequence is represented using the alphabet Σ= {a, c, g, t}. The algorithm generates a set of all the 4l possible motifs or l-mers from the alphabet to search a motif of length l. Out of all possible l-mers, it finds the consensus. This algorithm guarantees to return the consensus but this is NP-complete and runtime increases with the increase in l-mer size. Using transitional probability from the Markov chain, the proposed algorithm symmetrically generates four subsets of l-mers. Each of the subsets contains a few l-mers starting with a particular letter. We used these reduced sets of l-mers instead of using 4ll-mers. The experimental result shows that the proposed algorithm produces a much lower number of l-mers and takes less time to execute. In the case of l-mer of length 7, the proposed system is 48 times faster than the median string algorithm. For l-mer of size 7, the proposed algorithm produces only 2.5% l-mer in comparison with the median string algorithm. While compared with the recently proposed voting algorithm, our proposed algorithm is found to be 4.4 times faster for a longer l-mer size like 9.
Current Insights on Vegetative Insecticidal Proteins (Vip) as Next Generation Pest Killers
Authors: Syed Tahira , Askari Muhammad , Meng Zhigang , Li Yanyan , Abid Muhammad , Wei Yunxiao , Guo Sandui , Liang Chengzhen , Zhang Rui
Published: August 2020

Bacillus thuringiensis (Bt) is a gram negative soil bacterium. This bacterium secretes various proteins during different growth phases with an insecticidal potential against many economically important crop pests. One of the important families of Bt proteins is vegetative insecticidal proteins (Vip), which are secreted into the growth medium during vegetative growth. There are three subfamilies of Vip proteins. Vip1 and Vip2 heterodimer toxins have an insecticidal activity against many Coleopteran and Hemipteran pests. Vip3, the most extensively studied family of Vip toxins, is effective against Lepidopteron. Vip proteins do not share homology in sequence and binding sites with Cry proteins, but share similarities at some points in their mechanism of action. Vip3 proteins are expressed as pyramids alongside Cry proteins in crops like maize and cotton, so as to control resistant pests and delay the evolution of resistance. Biotechnological- and in silico-based analyses are promising for the generation of mutant Vip proteins with an enhanced insecticidal activity and broader spectrum of target insects.
Prevalence of the Microsporidian Nosema spp. in Honey Bee Populations (Apis mellifera) in Some Ecological Regions of North Asia
Authors: Ostroverkhova Nadezhda V. , Konusova Olga L. , Kucher Aksana N. , Kireeva Tatyana N. , Rosseykina Svetlana A.
Published: August 2020

Two species of microsporidia, Nosema apis and Nosema ceranae, are obligate intracellular parasites that are widespread in the world and cause the infectious disease (Nosemosis) of the Western honey bee Apis mellifera. Information on the prevalence and distribution of Nosema species in North Asia conditions is scarce. The main aim of the present study is to determine the prevalence of Nosema spp. (Nosemosis) in honey bees inhabiting some inland regions of North Asia (Western and Eastern Siberia, Altai Territory, Russia, and northeastern part of Kazakhstan). The objective of the paper is also to assess the influence of climatic factors on the spread of N. ceranae. Eighty apiaries in four ecological regions of North Asia (southern taiga, sub-taiga zone, forest steppe, and mountain taiga forests) were investigated with regard to distribution, prevalence, and diversity of Nosema infection in honey bees using duplex-PCR. Nosema infected bees were found in 65% apiaries of ecoregions studied, and coinfection was predominant (36.3% of Nosema-positive apiaries). Both N. apis and N. ceranae occur across subarctic and warm summer continental climates, but while N. apis predominates in the former, N. ceranae is more predominant in the latter. No statistically significant differences in Nosema distribution were identified in various climatic zones. In the sub-taiga zone (subarctic climate), low presence of colonies with pure N. ceranae and a significantly higher proportion of coinfection apiaries were revealed. Long-term epidemiological study of Nosema spp. prevalence in the sub-taiga zone showed a surprising percentage increase of Nosema-positive apiaries from 46.2% to 74.1% during 2012–2017. From 2012 to 2015, N. apis became a predominant species, but in 2016–2017, the coinfection was mainly detected. In conclusion, the results of this investigation showed that N. ceranae is widespread in all study ecoregions of North Asia where it exists in combination with the N. apis, but there is no replacement of N. apis by N. ceranae in the studied bee populations.
Integrating Sustainable Water Resource Management and Land Use Decision-Making
Authors: Moltz Heidi L. N. , Wallace Carlington W. , Sharifi Erfaneh , Bencala Karin
Published: August 2020

Human uses of land and water are directly linked and must, therefore, be managed with each other in mind. This paper puts forward an approach for integrating sustainable water resource management into local land use decision-making in the Potomac basin. The approach includes developing a clear understanding of the current regulatory, programmatic, and financial approaches to land use management; identifying opportunities from innovation; and developing a flexible, stakeholder-based framework for moving forward. Four opportunities for innovation were identified in the Potomac basin utilizing this approach, including enhancing coordination and access to information, promoting incentives to achieve desired outcomes, encouraging and promoting innovation, and integrating programs to achieve multiple objectives. The successful integration of land and water decision-making requires a sustained, long-term commitment to improvement rather than a one-time fix mentality. Initial steps for implementation include identifying and engaging diverse partners, as well as establishing channels for information dissemination. The lessons learned from this work may prove valuable to decision-makers in other regions to holistically manage diverse land and water resources.
Elucidation of the Mechanism of Blockage in Sewer Pipes by Fatty Acid Deposition and Suspended Solid
Authors: Otsuka Toshihiko , Yamazaki Hiroshi , Ankyu Eriko , Ahamed Tofael , Anda Martin , Noguchi Ryozo
Published: August 2020

The objective of this study is to elucidate the mechanism by which blockages occur in sewer pipes following the deposition of fat, oil, and grease (FOG) and suspended solids (SS). In this study, a simulated wastewater flow experiment was conducted to elucidate the mechanism of sewer pipe blockage using lauric acid as fatty acid and florisil to simulate FOG and SS blockages, respectively. Unplasticized polyvinyl chloride pipes (ϕ = 50 mm) with a flow speed of 2 L/min and 1% inclination were used in this experiment. In “Case L & F (lauric acid florisil),” the deposition of florisil and adhesion of solids increased at the bottom of the sewer pipe over a set period. After seven days, decreases in lauric acid concentration from 1000 to 57 mg/L and in Ca2+ concentration from 18 to 0.8 mg/L were observed. FOG deposits formed solids by the saponification of lauric acid and Ca2+ from tap water. In the simulated kitchen wastewater, either lauric acid or florisil exhibited solid deposition and adhesion. Based on these findings, the blockage mechanism was elucidated to confirm FOG deposition of and SS influenced by the combination of lauric acid, Ca2+, and florisil.
Leucodistrofia Metacromática: relato de caso de criança com forma infantil tardia
Authors: Berto Murilo Henrique , Cervelin João Carlos , Frizon Rafael , Berto Josiani
Published: August 2020

Introdução. Leucodistrofia Metacromática (LDM) é uma doença neurológica desmielinizante causada por um erro inato do metabolismo, resultando em deficiência da enzima arilsulfatase A. Os primeiros sinais da doença iniciam com perda dos marcos do desenvolvimento e regressão motora. Objetivo. Relatar o caso de uma criança com LDM, destacando as crises convulsivas e déficit visual no início da doença. Método. Relato de Caso de uma paciente atendida em um hospital estadual de Santa Catarina. As informações da paciente foram obtidas através de revisão do prontuário eletrônico, consultas ambulatoriais, visita domiciliar e exame físico. Resultados. A criança desenvolvia-se normalmente até o início dos sintomas. A partir do segundo ano de vida, surgiram episódios agudos de febre associados a convulsões generalizadas frequentes. Durante a internação, teve regressão do desenvolvimento neuropsicomotor e, posteriormente, déficit visual. Com o passar dos anos apresentou postura em opistótono, incapacidade de comunicação e total dependência dos pais. A criança era internada com frequência devido pneumonia e estava em cuidados paliativos. O óbito ocorreu aos 7 anos de idade. Conclusão. O quadro clínico da menina é semelhante a outros casos reportados na literatura, mas as crises convulsivas generalizadas e o déficit visual súbito foram únicos.
A Short Review on ANGPTL-8 as an Important Regulator in Diabetes
Authors: Esfahani Maryam , Goodarzi Mohammad Taghi
Published: August 2020

ANGPTL8, a new hormone, is regarded as a novel target for type-2 diabetes and associated metabolic disorder. Nutritional state and hormonal factors are involved in the regulation of ANGPTL-8 expression. This protein is associated with some myokines or adipokines. Several studies confirmed the function of ANGPTL-8 in glucose metabolism and diabetes complications; however, there are opposite results. The accurate function of ANGPTL-8 in T2D remains unclear. Further strictly controlled studies including measuring methods, nutritional state, diagnostic criteria of overweight/obesity, age, and ethnicity may help to resolve discrepancies. In addition, more studies are demanded to clarify the potential role of ANGPTL-8 in humans, a cause or an effect of this protein in association with insulin resistance, the regulatory mechanism of ANGPTL-8 expression, and the association of ANGPTL8 with other adipokines or myokines. In this mini review, we described various roles of ANGPTL-8 in diabetes.
Eco-Friendly Greener Synthesis of Nanoparticles
Authors: Bhardwaj Brahamdutt , Singh Pritam , Kumar Arun , Kumar Sandeep , Budhwar Vikas
Published: August 2020

The exploitation of naturally obtained resources like biopolymers, plant-based extracts, microorganisms etc., offers numerous advantages of environment-friendliness and biocompatibility for various medicinal and pharmaceutical applications, whereas hazardous chemicals are not utilized for production protocol. Plant extracts based synthetic procedures have drawn consideration over conventional methods like physical and chemical procedures to synthesize nanomaterials. Greener synthesis of nanomaterials has become an area of interest because of numerous advantages such as non-hazardous, economical, and feasible methods with variety of applications in biomedicine, nanotechnology and nano-optoelectronics, etc.
DEGRADASI PERUSAHAAN PADA INDEKS LQ45
Authors: Puspitaningtyas, SE., MM. Ayu , Rahmawantari Dhistianti Mei
Published: August 2020

The purpose of this study is to analyze the degradation of companies in the LQ45 index. The population of this study is companies listed on the LQ45 index from February 2019 to July 2019. Total populations are 45 companies. The research sample used purposive sampling of 3 companies. The data is sourced from audited company financial statements downloaded from the Indonesia Stock Exchange website. The analytical method used is a horizontal analysis method that is comparing financial statements for several periods. The models studied are NOPLAT, FCF, ROIC, and CFI from DCF methods. Based on the NOPLAT analysis, all three companies were able to create net operational profits. Based on the FCF analysis, only PT Waskita Beton Precast Tbk. revenue’s that able to support its business development activities. Based on the ROIC and CFI analysis, only PT Elnusa Tbk. tended to be stable in providing funds to pay debtholders and stakeholders.
PENGARUH EXPERIENTIAL MARKETING DAN TOURIST SATISFACTION TERHADAP REVISIT INTENTION TOURISM DI DANAU KELIMUTU
Authors: Jamu Maria Endang , Laga Yulius , Laga Yulius
Published: August 2020

The objective of the research is to find out the influence of experential marketing  and tourist satisfaction positively and significantly to the revisit intention of tourists in the Kelimutu National Park Area. The method used in this study is quantitative descriptive, with respondents in this research were domestic tourists with a total of 140 as a basis for consideration for SEM-PLS. The sample was taken using purposive sampling. The results of the research showed that experential marketing and tourist satisfaction are positive and significant for revisit intention tourist in the Kelimutu National Park.
FAKTOR YANG MEMPENGARUHI KEPUASAN KERJA PEGAWAI NEGERI SIPIL DI KOTA BEKASI
Authors: Rahim Dian A
Published: August 2020

The purpose of this research is to find out what influence factors of  job satisfaction for the government emplorees at Bekasi City The data is collected  by distributing questionnaires to 105 respondents of the employees at Bekasi City, based on random sampling. The analytical tool for this research  is analysis  factor. The results shows  that,  from the 20 variables,  there are 5 factors is formed with the highest eigenvalue, which is organizational culture , how to work, work condition, communication and work supervision.
PENGARUH LOKASI TERHADAP KEPUASAN PELANGGAN MELALUI KEPUTUSAN PEMBELIAN PERUMAHAN THE ANGGANA PT ADHI PERSADA PROPERTY JAKARTA
Authors: Saragih, MM. Bongsu
Published: August 2020

This study aims to determine and analyze the influence of location on purchasing decisions, knowing and analyzing the influence of location on customer satisfaction, knowing purchasing decisions on customer satisfaction, knowing the effect of location on customer satisfaction through customer decisions. The analysis shows that location influences purchasing decisions, which means that the more location strategy can improve purchasing decisions. Location affects customer satisfaction, which means that locations that are easily accessible can increase customer satisfaction. Purchasing decisions affect customer satisfaction, which means that consumers will feel satisfied if there is compatibility. Location influences customer satisfaction through purchasing decisions, which means that strategic location can increase customer satisfaction if purchasing decisions are made rationally.
PENGARUH PENGHARGAAN DAN MOTIVASI KERJA TERHADAP KINERJA KARYAWAN PT. ANARA TRISAKTI MEDIKA JAKARTA TIMUR
Authors: Rezani Fahri Ibnu , Chaeriah Ella Siti
Published: August 2020

This study aims to examine the effect of rewards and work motivation on employee performance. This research was conducted at a medical equipment company in East Jakarta. Data collection was carried out using a questionnaire to respondents. This research was tested with validity and reliability test, classic assumption test, and simple and multiple linear regression analysis test. The results of this study partially giving awards a positive and significant effect on the performance of employees of PT. Anara Trisakti Medika East Jakarta, work motivation has a positive and significant effect on the performance of the employees of PT. Anara Trisakti Medika East Jakarta, and giving awards and work motivation together have a positive and significant effect on the performance of the employees of PT. Anara Trisakti Medika East Jakarta.
PENGARUH TINGKAT KESEHATAN BANK TERHADAP HARGA SAHAM PERBANKAN UMUM KONVENSIONAL TERDAFTAR DI BEI 2014-2018
Authors: Salsabilla Bella , Yunita Irni
Published: August 2020

This research purpose is to analyze the impact of bank soundness on stock price both simultaneously and partially. This research conducted on several indicators which represented by each ratio. There are Good Corporate Governance (GCG), risk profile represented by Non Performing Loan (NPL), capital represented by Capital Adequacy Ratio (CAR), and earning represented by Return on Asset (ROA). The population was conventional banking companies listed on Indonesia Stock Exchange during 2014-2018. Sampling method used in this research was purposive sampling and obtained 32 banking companies as a sample. This research using quantitative method. Analysis technique used in this reseach was panel data regression. The result shows that simultaneously NPL, ROA, CAR have insignificant effect on stock price. However, partially there was a significant effect between GCG and stock price. While the others variable have insignificant effect on stock price.
4f Koehler Transmitted Illumination Condenser for Teaching and Low-Cost Microscopic Imaging
Authors: Madrid-Wolff Jorge , Forero-Shelton Manu
Published: August 2020

Transmitted light imaging is an important tool in biophysics for applications that include sample analysis, recording samples whose viability is compromised by high levels of illumination (e.g., live cell tracking), and finding regions of interest in a sample. Koehler transillumination is a powerful illumination method used in commercial microscopes; yet commercial Koehler condensers are expensive, are difficult to integrate into tabletop systems, and make learning the concepts of Koehler illumination difficult because of their closed-box nature. Here, we show a protocol to build a simple 4f Koehler illumination system that offers advantages with respect to commercial condensers in terms of simplicity, cost, and compatibility with tabletop systems, such as open-source light sheet fluorescence microscopes. We include step-by-step instructions that can be followed by advanced undergraduate or graduate students without experience in optics on how to align and assemble the illuminator, along with a list of the necessary parts for assembly. We also include supplemental material that describes 4 supporting educational activities students can conduct with the apparatus and helps in the understanding of key concepts relevant to Koehler illumination and optics. The performance of the system is comparable to that of commercial condensers and significantly better, in terms of illumination homogeneity and depth of field (optical sections are possible), than that of LED flashlights, such as those found in low-cost diagnostic devices and tabletop systems.
Implementation of Application Programming Interface (API) in Indonesian Dance and Song Applications
Authors: Priyatna Bayu , Hananto Aprilia
Published: August 2020

The development of multimedia technology has become a phenomenon that cannot be contained. All technology platforms now use multimedia elements as GUI Interface because it makes it much easier for users to control it. The introduction of cultural customs such as Indonesian traditional dances and songs is critical so that it remains sustainable and is not undermined by foreign influences. A new and appropriate media is needed to socialize it, amicable and fun media for young children. Application of Application Programming Interface (API) in Indonesian death dance and song applications makes it easier to change data so that data flow mobility can be faster to change. The results of the research show that the implementation of API in the application has better effectiveness. and the white box test results show that the coding system can run according to function.
Securing the Website Login System with the SHA256 Generating Method and Time-based One-time Password (TOTP)
Authors: Permana Iman , Hardjianto Mardi , Ahmad Baihaqi Kiki
Published: August 2020

Security to enter a system has a very important role because as the main entrance to access data sources. But often lack the attention of the owners and managers of information systems. To reduce these weaknesses, one method that is widely used today is to use One-Time password, which is where the password we have becomes dynamic, meaning that at a certain time the password is always changing, the positive side is that it makes it difficult for others to steal our passwords because besides representative passwords that are difficult to understand and passwords are always changing. This study discusses One-Time Password installed on a mobile device where the password is randomized using a combination of two algorithms, namely SHA256 and Time-based One Time Password. The development of this login method can reduce the level of theft of passwords owned by users who are entitled to access information sources.
Decision Support System to Determine the Location of a Cake Shop Retail Business Using the AHP Method and Simple Additive Weighting (SAW)
Authors: Wiguna Didik
Published: August 2020

The number of research methods in the field of information technology provides choices for decision-makers to apply these methods to their business processes so that the application of these research methods can be developed into applications for researchers themselves or application program developers. In practice the process of implementing these research methods is developed and adapted to existing business processes so that in many implementations these methods can be combined with other methods, one of which is the method of collecting data combined with the method of sorting the decision process to provide an overview of the best results so can make decisions quickly and accurately. The method to be researched here is the AHP method as a data collection method and the Simple Additive Weighting (SAW) method, which is the method that provides the best sequence of results so that this research is expected to be helpful for a decision-maker in conducting future business actions. The research is a form of research from previous studies that discuss the same theme because in this study the researcher wants to get the results between the previous research and this research.
Ternary Content Addressable Memory
Authors:   Student, Department of Electronics & Communication, APJ Abdul Kalam Technological University, (Kerala), India., Sisira P. K. , Aswathy N. ,   Assistant Professor, Department of Electronics & Communication, Adi Shankara Institute of Engineering & Technology, Kalady (Kerala), India., Prameela B. ,   Assistant Professor, Department of Electronics & Communication, Adi Shankara Institute of Engineering & Technology, Kalady (Kerala), India., George Anju ,   Assistant Professor, Department of Electronics & Communication, Adi Shankara Institute of Engineering & Technology, Kalady (Kerala), India.
Published: August 2020

Memory Technology plays a vital role in fast searching applications. Content Addressable Memory (CAM) is a special type of memory used for search operation. CAM provides access to the stored data by its content instead of the address. Advanced version of CAM is known as Ternary CAM (TCAM) which is a memory that can also store don’t care bit. TCAM is most relevant in routers in networking applications. Review of TCAM design techniques at different aspects are carried out, and obtained that an Energy Efficient TCAM (EE-TCAM) is the one which is having less power consumption. Compared with other SRAM-based TCAM designs, EE-TCAM use up reduced energy as it selectively activates only one row of SRAM at a time for search operation instead of activating the whole SRAM memory as in the other architectures. Partitioning of the TCAM table, designing of a pre-classifier and memory mapping are done prior to the work. This paper focuses on designing an EE-TCAM using Verilog HDL on Zybo7000 platform using Vivado design suite. Functional analysis of a 6*6 EE-TCAM is performed and power, delay and resource utilization are obtained. From the obtained results it is clear that EE-TCAM is having very less power and delay.
Chlad Apock-Iot Based Security Lock Safety at Your Hands
Authors:   Student, Department of Electronics and Communication Engineering, Adi Shankara Institute of Engineering and Technology, Kalady., Lakshmi T Aiswarya , P A Mr. Prajeesh ,   Assistant Professor, Department of Electronics and Communication Engineering, Adi Shankara Institute of Engineering and Technology, Kalady., Sukumaran Adithya ,   Student, Department of Electronics and Communication Engineering, Adi Shankara Institute of Engineering and Technology, Kalady., P A Aswathy ,   Student, Department of Electronics and Communication Engineering, Adi Shankara Institute of Engineering and Technology, Kalady., K K Athira ,   Student, Department of Electronics and Communication Engineering, Adi Shankara Institute of Engineering and Technology, Kalady.
Published: August 2020

In today’s hectic schedule, it is obvious to forget to lock the doors or off the lights and then check for it frequently. Obsessive Compulsive Disorder(OCD) is an anxiety disorder in which some people have recurring ,unwanted thoughts, ideas or sensations that make them feel driven to do something repetitively .OCD can make it difficult for the people to perform everyday activities. This paper is all about modernising the conventional door lock and smart lighting system in order to help people. The product is solution to several difficulties faced by people experiencing .Here we use a leading edge technology namely mobile application for checking the status of door and light. The uniqueness of this product relies on the fact that using new technologies along with old ones will result in an agile and more dynamic system. Furthermore, the biggest advantage of the proposed system over existing ones is that it can be easily installed with minimal requirement of infrastructures and planning.
Modified ANPR using Neural Networks
Authors:   ECE Dept., ASIET, Matoor, Kalady, Ernakulam, Shanavas Shahala , Raju Sneha ,   ECE Dept., ASIET, Matoor, Kalady, Ernakulam, S. Sreeganesh ,   ECE Dept., ASIET, Matoor, Kalady, Ernakulam, Nair Sreejil B. ,   ECE Dept., ASIET,Matoor, Kalady, Ernakulam, Paul Albins ,   Asst. Professor, ECE Dept., ASIET, Matoor, Kalady, Ernakulam
Published: August 2020

Number Plate Recognition is a mass observation technique which is used to identify the vehicles. The identification and acknowledgement of a vehicle license plate is a key method in the greater part of applications related to vehicle movement. Moreover, it is a very famous and dynamic research subject in the field of image processing. Since every vehicle have a unique plate number, so if we have to perceive a specific vehicle we can utilize the license plate. The main objective of automatic vehicle number plate recognition is to design an efficient automatic authorized vehicle identification system by using the number plate. It has three modules namely license plate extraction, segmentation and recognition. . Different methods, techniques and algorithms have been developed to detect and recognize license plates. Nevertheless, due to the license plate characteristics that vary from one country to another in terms of numbering system, colours, language of characters, fonts and size. Further investigations are still needed in this field in order to make the detection and recognition process very efficient. Although this domain has been covered by a lot of researchers, various existing systems operate under well-defined and controlled conditions. For example, some frameworks require complicated hardware to make good quality images or capture images from vehicles with very slow speed. For this reason the detection and recognition of number plates in different conditions and under several climatic variations remains always difficult to realize with good results. For that, we present an automatic system for number plate detection and recognition based on convolutional neural networks. CNN has proved its robustness even with distorted, tilted and illuminated datasets.
Faster R-CNN Network Based on Multi Feature Fusion for Efficient Face Detection
Authors:   Associate Professor, Department of Computer Applications, Nandha Arts and Science College, Perundurai, Erode, Tamil Nadu, India., Ramkumar Dr. R. , Priyadharshni R. ,   Assistant Professor, Department of Computer Science, G.T.N Arts College (Autonomous), Dindigul, Tamil Nadu, India.
Published: August 2020

The putting into effect of deep learning gave all attention on deep convolutionary neural networks has gained great condition of having general approval in face discovery in near in time years. One of the still in the same way open tasks however is to make out small-scale points. The distance down of the convolutionary network can cause a quick becoming-smaller of the sent out point map for small faces, and most scale unchanging views can hardly grip less than 15×15 bit of picture faces. There are few types of Haar-like rectangle points, which send in to the hard question that the training time for the classifier is too long because of, in relation to the greatly sized number of point amounts needed to put in order the small faces. In order to get answer to this hard question, we offer the MB-LBP (Multi-scale Local based on good example) features and joined rotation-invariant LBP (nearby based on good example) features based on the quicker R-CNN classifier called convolutional neural network (put) in middle in the gave greater value to quicker field, range (EFR-CNN). Despite the shortcomings of MB-LBP point and rotation-invariant LBP point on face edge knowledge, the canny operator-based edge azimuth field purpose, use is grouped together with the above features to make statement of the sense of words of the face news given. In place, based on the grouped together point group, a given to overmuch pleasure R-CNN network of parallel form is suggested. The proposals are put on one side to three being like (in some way) given to overmuch pleasure R-CNN networks according to the different rates on a hundred that they cover on the pictures. The three networks are separated by the measures of the map and (make, become, be) different in the weight of the concatenation 8 of purpose, use maps from one another. The offered EFR-CNN system gets done giving undertaking operation on common points of comparison, including FDDB, AFW, PASCAL faces, And wider face, made a comparison of with state-of – the-art face discovery methods such as Unit Box, hyperface Fastcnn.
EFFICIENT READING IN LEARNING A FOREIGN LANGUAGE
Authors: Yurko N. , Styfanyshyn I. , Protsenko U. , Koval O.
Published: August 2020

Good reading skills are essential for language learners to have the sense of what sounds native. Reading helps to become familiar with the rhythm of the language. Reading in a foreign language has additional important benefits: reading skills enhancement improves the listening, speaking and writing abilities as well. Considering the necessity of proficient language skills and the significance of reading in a language fluency, the study defines and examines the main issues of efficient reading in learning a foreign language. The ability to read and comprehend the language better, learn more about the world, other people and other cultures, can be a great motivation to keep learning.
MARKETING AS A TOOL FOR THE DEVELOPMENT OF POTENTIAL OF SERVICE ACTIVITIES OF TERRITORIAL COMMUNITIES
Authors: Deineha O. , Deineha I.
Published: August 2020

An indicator of the maturity of market relations of the country's economy is the level and quality of satisfaction of consumer needs, the importance of whose impact on producers of products or services tends to increase. The course of decentralization of power set by the Government of Ukraine adjusted the content of the established goals of the public administration system, thus ensuring the creation of preconditions for the introduction of a modern conceptual approach, which is traditionally called marketing in the commercial sphere. This circumstance highlights the need to adapt widely used marketing techniques to the provision of public services, in particular those produced by local communities. The article evaluates the possibilities of applying the elements of the marketing complex in the activities of the united territorial communities, in particular the specific features of the implementation of pricing, product, communication and distribution policies. The expediency of spreading the elements of marketing management in the practice of socio-economic activities of territorial communities in order to intensify it and ensure the competitiveness of the communities themselves is substantiated.
Monitoring forest health using hyperspectral imagery: Does feature selection improve the performance of machine-learning techniques?
Authors: Schratz Patrick , Muenchow Jannes , Iturritxa Eugenia , Cortés José , Bischl Bernd , Brenning Alexander
Published: August 2020

This study analyzed highly-correlated, feature-rich datasets from hyperspectral remote sensing data using multiple machine and statistical-learning methods.
 The effect of filter-based feature-selection methods on predictive performance was compared.
 Also, the effect of multiple expert-based and data-driven feature sets, derived from the reflectance data, was investigated.
 Defoliation of trees (%) was modeled as a function of reflectance, and variable importance was assessed using permutation-based feature importance.
 Overall support vector machine (SVM) outperformed others such as random forest (RF), extreme gradient boosting (XGBoost), lasso (L1) and ridge (L2) regression by at least three percentage points.
 The combination of certain feature sets showed small increases in predictive performance while no substantial differences between individual feature sets were observed.
 For some combinations of learners and feature sets, filter methods achieved better predictive performances than the unfiltered feature sets, while ensemble filters did not have a substantial impact on performance.

 Permutation-based feature importance estimated features around the red edge to be most important for the models.
 However, the presence of features in the near-infrared region (800 nm - 1000 nm) was essential to achieve the best performances.

 More training data and replication in similar benchmarking studies is needed for more generalizable conclusions.
 Filter methods have the potential to be helpful in high-dimensional situations and are able to improve the interpretation of feature effects in fitted models, which is an essential constraint in environmental modeling studies.
Blockchain-based Solution for COVID-19 Digital Medical Passports and Immunity Certificates
Authors: Hasan Haya R. , Salah Khaled , Jayaraman Raja , Arshad Junaid , Yaqoob Ibrar , Omar Mohammed , Ellahham Samer
Published: August 2020

COVID-19 has emerged as a highly contagious disease which has caused a devastating impact across the world with a very large number of infections and deaths. Timely and accurate testing is paramount to an effective response to this pandemic as it helps identify infections and therefore mitigate (isolate/cure) them. In this paper, we investigate this challenge and contribute by presenting a blockchain-based solution that incorporates self-sovereign identity, re-encryption proxies, and decentralized storage, such as the interplanetary file systems (IPFS). Our solution implements digital medical passports (DMP) and immunity certificates for COVID-19 test-takers. We present smart contracts based on the Ethereum blockchain written and tested successfully to maintain a digital medical identity for test-takers that help in a prompt trusted response directly by the relevant medical authorities. We reduce the response time of the medical facilities, alleviate the spread of false information by using immutable trusted blockchain, and curb the spread of the disease through DMP. We present a detailed description of the system design, development, and evaluation (cost and security analysis) for the proposed solution. Since our code leverages the use of the on-chain events, the cost of our design is almost negligible. We have made our smart contract codes publicly available on Github.
El texto argumentativo bilingüe español-inglés y las elecciones lingüístico-discursivas direccionadas por el estilo de aprendizaje en estudiantes en formación bilingüe
Authors: Loaiza Villalba Neira
Published: August 2020

Este texto presenta algunos resultados de un estudio doctoral, de enfoque cuantitativo y diseño no experimental y transversal, en el campo del bilingüismo escolar con relación al direccionamiento que los estilos de aprendizaje de estudiantes de licenciatura en lenguas modernas de nivel intermedio hacen con respecto a las elecciones lingüístico-discursivas  por las que ellos optan en la escritura argumentativa en inglés y español.  El estilo de aprendizaje predominante en la muestra de 47 estudiantes, a quienes se aplicó el cuestionario de estilos de aprendizaje de Kolb (1976), fue el divergente (72.3%). Se evidenció, a través de un análisis de retórica contrastiva intraindividual (Liu y Furneaux, 2013), que en general el estilo de aprendizaje predominante en los estudiantes direccionó en gran medida algunas de sus elecciones lingüístico-discursivas en dos cartas petitorias en español e inglés. Sin embargo, se reconoce que no sólo el estilo de aprendizaje puede incidir en dichas escogencias sino que ellas también podrían ser influenciadas por la naturaleza de la lengua y por las características cognitivas y afectivas que la argumentación –como habilidad psicolingüística de alto nivel lingüístico, cognitivo y metacognitivo– demanda.
Revista Vol 8 No 3 Gestión, liderazgo, calidad, inclusión educativa y transferencia de conocimiento
Authors: Rengifo Carlos Adolfo
Published: August 2020

El presente número de la Revista Boletín Redipe trae tres temas relevantes: por un lado, transferencia de conocimiento; por otro, inclusión educativa, y finalmente, la gestión, liderazgo y calidad educativa.
La transferencia de conocimiento como proceso: de la universidad al sector educativo. Una mirada desde la pedagogía
Authors: Touriñán López José Manuel
Published: August 2020

En educación transformamos la información al conocimiento y este en educación. Cuando hacemos eso, ponemos en marcha procesos de innovación y transferencia. La transferencia es algo inherente a la educación, no solo la transmisión y la difusión. Estamos obligados a preguntarnos desde la Pedagogía por la transferencia de conocimiento. Desde de la universidad transferimos conocimiento al sector educativo, por medio de procesos. El potencial de transferencia de conocimiento que hay en el conocimiento de la educación, le otorga a la transferencia de conocimiento un lugar específico en educación. Los modelos integrados y en red, que responden a imágenes de hélice con varias palas, son una necesidad en las sociedades del conocimiento. La tercera misión de la universidad conecta innovación, empresa, sociedad civil y desarrollo cultural, social y económico bajo la perspectiva de la transferencia de conocimiento.

El lugar de la transferencia de conocimiento, en relación con la educación, no ha sido bien estudiado y tampoco bien gestionado. En este artículo se estudia la transferencia como proceso, su significado, su vinculación con la relación ciencia-tecnología-sociedad-innovación y la puesta en marcha de la evaluación de la transferencia de conocimiento para los profesores de universidad en España.
La orientación educativa para el desarrollo de nociones elementales de matemática en el niño sordo
Authors: González Cuesta Rosamaría
Published: August 2020

Se aborda un tema actual en la educación cubana de los niños sordos de la primera infancia, relacionado con la preparación de los contextos en prácticas educativas inclusivas que garanticen una educación de calidad. Se analizael desarrollo del proceso educativo inclusivo y las transformaciones en la educación de sordos, en su continuo perfeccionamiento a partir del modelo educativo bilingüe cubano. Las sugerencias propuestas dirigidas a mejorar el desempeño de la familia y otros agentes educativos para el desarrollo de nociones de matemática en el niño sordo, da respuesta a la necesidad de potenciar el desarrollo de diferentes áreas de la actividad psíquica del menor para contribuir al desarrollo de los procesos del pensamiento y su preparación para su ingreso a la escuela.
El enfoque de procesos, su concreción en un manual de gestión institucional
Authors: Rubio Vargas Inidia , Abreu Payrol Juan , Martínez Quijano Mercedes
Published: August 2020

Los resultados que se presentan forman parte de un proyecto de investigación y una experiencia de trabajo del Instituto de Farmacia y Alimentos de la Universidad de la Habana, que ha venido instrumentando esta metodología buscando mayor eficiencia y eficacia en los procesos sustantivos universitarios a partir de la organización de un sistema de trabajo que parte de la estructuración de equipos que lideran tanto estos procesos como los estratégicos y de apoyo.

La idea esencial que se desarrolla parte de la necesidad de integrar los diferentes modelos de gestión que hoy coexisten en las prácticas de las instituciones universitarias: estratégico, estructural – funcional, gestión de la calidad y enfoque de procesos; muchas veces no se logra la coherencia necesaria entre los diferentes enfoques que devienen de dichos modelos; en este sentido el objetivo del trabajo es identificar los procedimientos como núcleo articulador de los modelos anteriores, se presenta la metodología seguida en el Instituto de Farmacia y Alimentos de la Universidad de la Habana.
Revista Vol 8 No 4 Pasivos y desafíos en la educación
Authors: Monterroza Viviana Margarita
Published: August 2020

La exposición editorial de este número de la Revista Boletín Redipe corresponde al artículo del profesor Arboleda en torno a los pasivos y desafíos de la educación para una inclusión real. Plantea a modo de tesis que toda educación es sustantivamente inclusiva, o debería serlo, y que todo sujeto educando, humano, es diverso, debiendo ser acogido incondicionalmente en su singularidad. En consecuencia, el proyecto educativo del mundo de hoy tiene grandes visos de exclusión en tanto se fundamenta en presupuestos e intereses del mundo del mercado, orbe en el cual gravita la rentabilidad sobre la vida, eternizando la necesidad inherente a toda institución y sistema educativo de proyectar sus acciones a la luz de la función de educar en virtud de la cual afirme la vida y potencie la formación de mejores seres humanos.