bluuebunny/crossref_metadata_2025 huggingface dataset:
Growth, yield and biochemical responses of BARI chhola-9 (Cicer arietinum L.) to GA3 and rhizobium application
Authors: Jahan Tasnia , Khan Farhana Islam , Adam AMM Golam , Begum Hasna Hena
Published: June 2020

A field experiment was conducted to investigate the responses of various concentrations of GA3 (10, 20, 50 ppm) and Rhizobium inoculation on growth, yield and biochemical parameters of BARI Chhola-9. Foliar application of 50 ppm GA3 resulted maximum plant height, number of primary branches per plant, shoot and root length, fresh and dry weight of shoot and root and biomass duration per plant with significant variations in case of fresh and dry weight of shoot and biomass duration. The stimulatory effect of 50 ppm GA3 on number of pods per plant, fresh and dry weight of pods per plant, number of seeds per pod, number of seeds and straw yield per plant and weight of 1000-seed eventually produced 4.76% higher yield over the control. Yield parameters of BARI Chhola-9 showed almost negative response to Rhizobium and 10 ppm treatments with a few exceptions. Pigment content of leaves also increased due to 50 ppm GA3 treatment at both vegetative and flowering stages where, significantly higher amount of chlorophyll a and b were recorded from flowering stage although statistically similar to 20 ppm GA3 treatment. However, protein content of leaves increased following Rhizobium and 10 ppm GA3 treatments at vegetative stage and to all treatments at flowering stage but, increase in protein content of seeds was recorded from Rhizobium treatment only. Out of four treatments, 50 ppm produced better yield.
In vitro micropropagation in tropical short day onion (Allium cepa L.)
Authors: Passi Rupali , Dhatt AS , Sidhu MK
Published: June 2020

For in vitro micropropagation, short day tropical varieties of onion ‘Agrifound Dark Red’, ‘Punjab Naroya’ and ‘PRO-6’ were exposed to different concentrations and combinations of growth hormones. Pre-sterilization of basal plate of onion in 0.5% solution of bavistin followed by treatment with 0.1% mercuric chloride for 10 min. produced the highest rate of survival of explants (47.9%). Survival was further enhanced to 53.17% with the addition of 750 ppm cefotaxime in MS medium. Varietal differences were observed for in vitro establishment, multiplication and root induction. Among various combinations of growth hormones, MS medium supplemented with 4.0 mg/l BAP + 0.5 mg/l NAA, 2 mg/l BAP and 0.5 mg/l NAA and half MS carrying 1.0 mg/l IBA + 0.5 mg/l NAA produced the highest in vitro establishment (53.07%), multiplication (64.46%) and rooting (66.37%) respectively, in ‘Agrifound Dark Red’.
ÖZEL GEREKSİNİMLİ VE NORMAL GELİŞİM GÖSTEREN ÇOCUKLARIN EBEVEYNLERİNİN ÖZEL EĞİTİME İLİŞKİN METAFOR KULLANIMININ KARŞILAŞTIRILMASI
Authors: ZELYURT Hikmet
Published: June 2020

Günümüz eğitim sisteminde özel eğitime gereksinim duyan çocuklar ile normal gelişim gösteren çocuklar aynı ortamlarda öğrenim görmektedir. Normal gelişim gösteren çocukların özel gereksinimli çocuklara bakışları ailelerinden etkilenmektedir. Bu araştırmanın amacı da özel gereksinimi olan çocukların ebeveynleri ile normal gelişim gösteren çocukların ebeveynlerinin özel eğitime bakış açısı ve metaforları arasında farklılık olup olmadığını tespit etmektir. Araştırmanın örneklemini özel gereksinimli 22 çocuğun anne babası ile normal gelişim gösteren 23 çocuğun anne babası olmak üzere toplamda 45 anne baba oluşturmaktadır. Araştırmada veri toplama aracı olarak yarı yapılandırılmış görüşme formu kullanılmıştır. Elde edilen sonuçlar genel olarak incelendiğinde özel gereksinimli çocuğu olan anne babaların metaforları sıkıntı, eziyet, zorluk gibi olumsuz kavramlardan oluşurken; normal gelişim gösteren çocuğu olan anne babaların metaforlarının ise çiçek, huzur, mutluluk gibi olumlu kavramlardan oluştuğu tespit edilmiştir.
ESTIMATION OF CONSUMPTIVE USE OF POTATO CROP PIANTED UNDER DRIP IRRIGATION SYSTEM BY USING SWRT TECHNOLOGY
Authors: Abedalrahman J.N. , Mansor R.J. , Abass D.R.
Published: June 2020

A field experiment was carried out in the field of the College of Agriculture / University of Wasit, located on longitude  45o   50o   33.5o   East and latitude 32o 29o 49.8o North, in Spring season of the agricultural season 2019, in order to estimate the water consumption of potato crop using SWRT technology and under the drip irrigation system. The experiment was designed according to Randomized Complete Block Design (RCBD) with three replications and four treatments that include of the SWRT treatment (the use of plastic films under the plant root area in an engineering style), and the treatment of vegetal fertilizer (using Petmos), organic fertilizer (sheep manure), and the control treatment . Potato tubers (Solanum tuberosum L.)  var. Burin was planted for spring season on 10/2/2019 at the soil depth of 5-10 cm.

The highest reference water consumption for the potato crop during the season was calculated by Najeeb Kharufa, which was 663.03 mm. The highest actual water consumption for the potato crop during the season for the control treatment was 410.1 mm. The results showed increase in the values of the crop coefficient (Kc) in the stages of tubers formation and tubers filling stage as compared to the vegetative and ripening stages, ranged from 1.37-1.92 for the two stages of tubers formation and tubers filling. The SWRT treatment gave the highest water use efficiency during the season, was 3.46 kg m-3 .
EFFECT OF USING SWRT TECHNOLOGY ON SOME PHYSICAL PROPERTES OF SOIL PLANTED WITH POTATO CROP UNDER DRIP IRRIGATION SYSTEM
Authors: Abedalrahman J.N. , Mansor R.J. , Abass D.R.
Published: June 2020

A field experiment was carried out in the field of  College of Agriculture / University of Wasit, located on longitude 45o 50o33.5o East and latitude 32o 29o 49.8o  North, in the spring agricultural season 2019. The experiment was designed according to Randomized Complete Block Design (RCBD) with three replication and four treatments that include each of the SWRT treatment (use of plastic films under plant root area in an engineering style) treatment of vegetal fertilizer (using Petmos), organic fertilizer (sheep manure), and control treatment. The bulk density values of soil profile for the season increased compared to their values before planting. It is noticed that the values of bulk density of soil increased with depth, ranging between 1.22 - 1.27 Mg m-3 for SWRT treatment and between 1.28 - 1.31 Mg m-3 for plant fertilizer treatment and between 1.22 - 1.32 Mg m-3 for animal manure treatment and between 1.29-1.34 Mg m-3 for control treatment. The values of saturated hydraulic conductivity of soil decreased with depth after the end of the season ranged between 0.41-0.47 cm / hour for SWRT treatment and between 0.21 -0.24 cm / hour for petmos treatment and between 0.14-0.2 cm / hour for animal manure treatment and between 0.17-0.2 cm / hour for control treatment. The rate of infiltration rate and accumulative infiltration decreased for all treatments after the end of potato growth season compared to their value before planting, and the SWRT treatment gave the highest values compared to the rest treatments.
Lack of association between ACE I/D, NOS3 VNTR polymorphisms and drug toxicity of tacrolimus treated post-renal transplantation patients
Authors: Krishna Kathulapali , Satheesh Sanjana , Ramanathan Gnanasambandan , Paul Solomon F. D. , Matcha Jayakumar , Elumalai Ramprasad
Published: June 2020

Introduction: Tacrolimus is the most commonly used calcineurin inhibitor for renal transplant individuals. Genetic factors play a major role in allografts by affecting blood pressure regulation, vascular proliferation and inflammatory responses. Objectives: The aim of this study was to evaluate a possible role of the ACE I/D and NOS3 VNTR polymorphisms in kidney transplantation patients treated with tacrolimus in the south Indian population. Patients and Methods: This study included 50 kidney transplant individuals and 100 unrelated healthy individuals from the general population as control. The genotyping was performed by polymerase chain reaction and electrophoresis. Genotypes were compared among cases and controls applying χ2 test. The difference in C/D ratios was compared using Mann–Whitney U test or Kruskal-Wallis test. Results: The ACE ID polymorphisms in different models [genetic (P=0.723), dominant (P=0.148) and recessive (P=0.652)] or allele model (P=0.455) did not differ significantly between the groups. Similarly, there was no significant difference for the NOS3 VNTR genotypes in genetic model (bb vs ba P=0.118; bb vs aa P=0.446), dominant model (bb vs ba+aa P=0.099) and allelic model (b vs a P=0.103). No significant difference was observed for ACE ID and NOS3 VNTR genotypes between the toxicity and non-toxicity groups. Furthermore, no significant association was observed for daily dose and concentration dose ratio for the studied polymorphisms. Conclusion: The present study revealed no significant association between cases and controls as well as toxicity and non-toxicity groups. Furthermore, there was no association between genotypes and daily dose and dose concentration.
The Impact of the Change of Water Polo Rules on the Game Dynamics
Authors: Gardasevic Novica , Joksimovic Marko
Published: June 2020

This research aimed to identify a change in the dynamics of the water polo game related to identifying differences in the number of goals scored before and after the introduction of the current 2019 rules. The sample analyzed 96 matches from the 2018 and 2020 European Water Polo Championships. The sample of variables included five variables for both subsamples, which referred to the total number of goals scored in the match, as well as the total number of goals per quarter. By applying the T-test for small independent samples, it was determined that at a statistically significant level, a higher number of goals was achieved in the third and fourth quarters, as well as the total number of goals in the 2020 European Championship in Hungary, compared to the 2018 European Championship in Spain. No statistically significant differences were found in the variables related to the total number of goals in the first and second quarters of the water polo match. The rule change, which came into force in 2019, was driven by changes in the game that directly reflected in a more dynamic game that resulted in more goals per game as well as in the final quarter of the game. These changes were undoubtedly preceded by changes in the total number of attacks, faster swimming, more frequent shots, which should definitely be determined by additional research.
ANALYSIS OF CUSTOMER SATISFACTION ON SERVICE ARTHASPA SERVICE WITH APPROACH ALGORITHM C4.5
Authors: Hadi Sofian Wira , Kurniawan Wawan , Widianto Kudiantoro , Alfarobi Ibnu
Published: June 2020

Customer or buyer satisfaction is closely related to how a seller of services or a store serves its visitors. Good service for visitors also makes a good impression from visitors, while if the opposite will cause a very bad or unfavorable impression in the eyes of customers, and may also lead to the reluctance of visitors to come back lost the seller's opportunity to get potential buyers to become customers. This study attempts to analyze customer satisfaction with the services provided by Arthaspa outlets in grand Kemang hotels using the C4.5 Algorithm approach. The attributes used are comfort, cleanliness, tidiness, and price. samples taken are customers who have transacted at least once.
KOSENTRASI LIMBAH PERTANIAN SEBAGAI PAKAN ALTERNATIF TERHADAP MORTALITAS DAN PERTUMBUHAN IKAN NILA (Oreochromis niloticus)
Authors: Failu Ismail , Edy Safrin
Published: June 2020

The research aims (1). Knowing changes concentration in agricultural waste, especially water spinach kale and spinach as a source of food for growth and survival of tilapia (Oreochromis niloticus). (2). Knowing at what concentration of agricultural waste, especially bran kale and spinach as a source of food for growth and survival of tilapia (Oreochromis niloticus). The study was conducted in March to May 2020 in the Village of Liabuku, Bungi sub-district, Baubau town. The experimental design used in this study was a Completely Randomized Design (CRD) with 4 levels of treatment and 3 replications, thus there were 12 experimental units (Gasperstz, 1991), namely: (1) Pellet Feed (Mill) / Control (2) Treatment A (70 kale waste + 20% snail flour + 10 rice bran), (3) Treatment B (60 Kale waste + 30% snail flour + 10 rice bran) ), (4) Treatment C (50% kale waste + 40% snail flour + 10 rice bran). The provision of concentrations in the form of agricultural waste, especially kale, snail flour, and bran as a source of food does not have a significant effect on absolute growth, survival rates, and feed conversion to tilapia (Oreochromis niloticus) that are kept in ponds using nets. Absolute growth, survival rates, and the best feed conversion at treatment C (50% Kale Waste + 40% snail flour + rice bran 10) which are maintained in a pond using a net.

Keywords: Concentration of Agricultural Waste, Mortality and Growth
PEMBERDAYAAN EKONOMI MASYARAKAT PESISIR MELALUI PENGOLAHAN RUMPUT LAUT
Authors: Sujana I Wayan , Al Zarliani Wa Ode , Hastuti Hastuti
Published: June 2020

Tujuan yang ingin dicapai dengan kegiatan pengabdian pada masyarakat ini melalui seminar adalah Masyarakat Pesisir khususnya generasi muda memahami bagaimana memelihara dan mengolah rumput laut menjadi produk bernilai ekonomis tinggi serta Masyarakat Pesisir mempunyai kreatifitas untuk menghasilkan inovasi produk baru dari bahan pokok Rumput Laut. Salah satu produk inovasi dari potensi rumput laut yang dipraktekkan bersama dengan masyarakat yakni Es Sarang Rumput Laut. generasi muda masyarakat pesisir yang merupakan penerus harus ikut serta dalam pengelolaan, pemanfaatan serta penciptaaan produk baru berbasis potensi lokal seperti Rumput Laut.  Untuk mendukung hal tersebut maka kegiatan seperti ini hendaklah selalu dilakukan baik itu dalam bentuk seminar, pelatihan, penyuluhan, sosialisasi dan sebagainya, agar masyarakat mendapatkan penyegaran secara terus menerus.
Historical elements of garden architecture of the spa park in Nałęczów
Authors: Boguszewska Kamila Lucyna
Published: June 2020

Currently, Nałęczów is mentioned amongst most important Polish health resorts. One of the most important core of the whole urban complex in Nałęczów were the areas of greenery and spa park, wchich was originally part of manor historical complex. The former garden had a key role in the development of town urban structure. It was later adapted to services as spa park in health resort.The papers analyses the structure and development of spa park in Nałęczów in the context of health resort function and regional style(. The article underlines their impact on architectural garden details in the late 19th-early 20th century.
The architecture of the Lublin Bernardine Monastery at the time of signing of the Act of the Union of Lublin
Authors: Janus Krzysztof
Published: June 2020

The paper describes the history of the Bernardine Monastery complex and in particular its appearance and functions. The author made an attempt to reconstruct the layout of the buildings from the time when the Act of the Union of Lublin was signed. The article describes and presents in an interdisciplinary way the changes that took place in the structure of the complex and the phases of its transformation.
Pemberian Ekstrak Daun Kiara Payung (Filicium decipiens (Wight dan Arn.) Thwaites) sebagai Bioherbisida terhadap Pertumbuhan Gulma Babadotan (Ageratum conyzoides L.)
Authors: Rana Dona Cindy Elfira , Rondonuwu Sendy , Koneri Roni
Published: June 2020

Gulma babadotan merupakan masalah serius dalam bidang pertanian karena dapat menurunkan nilai kualitas maupun kuantitas dari tanaman budidaya. Kehadiran gulma dapat diatasi menggunakan senyawa alelokimia dari kiara payung (Filicium decipiens). Penelitian ini bertujuan untuk menguji pengaruh pemberian ekstrak daun kiara payung terhadap pertumbuhan tinggi, panjang akar, berat basah dan berat kering dari gulma babadotan (Ageratum conyzoides). Metode yang digunakan yaitu metode rancangan acak lengkap dengan lima perlakuan yaitu kontrol, ekstrak 1%, ekstrak 3%, ekstrak 5% dan herbisida sintetik 2%. Uji lanjut BNT taraf 95% menunjukkan bahwa setelah lima minggu perlakuan terdapat perbedaan yang nyata pada parameter tinggi tanaman antara perlakuan kontrol (33,4 cm), ekstrak 3% (27,6 cm), ekstrak 5% (21,4 cm) dan herbisida sintetik 2% (14,1 cm). Hasil uji lanjut Games-Howell taraf 95% menunjukkan bahwa panjang akar perlakuan kontrol (32,0 cm) tidak berbeda nyata dengan perlakuan ekstrak, tetapi berbeda nyata dengan perlakuan herbisida sintetik 2% (3,7 cm). Pada parameter berat basah perlakuan kontrol (33,81 g) tidak berbeda nyata dengan perlakuan ekstrak tetapi berbeda nyata dengan perlakuan herbisida sintetik 2% (0,12 g) dan pada parameter berat kering babadotan tidak ada perbedaan yang nyata antara perlakuan kontrol (6,86 g) dengan perlakuan ekstrak, tetapi berbeda nyata dengan perlakuan herbisida sintetik 2% (0,04 g). Kata kunci: Kiara payung; bioherbisida; gulma babadotan;ekstrak ABSTRACTBabadotan weed is a serious problem for agriculture field because this weed can reduce the quality and quantity value from the cultivated plants. Existence of this weed can control with allelochemical compound from kiara payung (Filicium decipiens). This study aims to examine the effect of giving kiara payung leaf extract for growth, root length, wet and dry weight of babadotan (Ageratum conyzoides) weed. The method use is complete random design method with five treatments that is control, 1% extract, 3% extract, 5% exract and 2% synthetic herbicide. Further test BNT 95% show after five weeks treatment there were significant differences in plant height parameter between control (33.4 cm), 3% extract (27.6 cm), 5% extract (21.4 cm) and 2% synthetic herbicide (3.7 cm). Further test of Games-Howell 95% in root length show no significant between control (32.0 cm) and extract treatment, but significant in 2% synthetic herbicide (3.7 cm). In wet weight, control treatment (33.81 g) no significant with extract but significant in 2% synthetic herbicide (0.12 g), and in dry weight parameter no significant between control (6.86 g) and extract, but significant in 2% synthetic herbicide (0.04 g).Keywords: Kiara payung; bioherbicide; babadotan weed; extract
Reliability characteristics of metal/ferroelectric-HfO2/IGZO/metal capacitor for non-volatile memory application
Authors: Mo Fei , Saraya Takuya , Hiramoto Toshiro , Kobayashi Masaharu
Published: June 2020

A metal/ferroelectric (FE)-HfO2/IGZO/metal capacitor was fabricated and investigated for 3D high-density memory application. The sharp interface is obtained without atomic interdiffusion. The capacitor shows ferroelectricity with a IGZO capping layer. The endurance and retention measurement show that the capacitor has up to 108 program/erase endurance cycles and a 10 year retention, respectively. The capacitor does not show the wake-up effect, which is beneficial for circuit design and manufacturing. The asymmetric imprint effect is attributed to the different band modulation in the accumulation and depletion states of IGZO.
Analysis of Learning Styles of Students in Class of XI Science 1 and XI Science 2 at SMAN 3 North Luwu
Authors: Pongkendek Jesi Jecsen , Ahmar Dewi Satria
Published: June 2020

The study was a descriptive study with the aim of knowing the description of the learning styles of students of Class of XI Science 1 and XI Science 2 of SMAN 3 North Luwu. Description of learning styles that will be obtained in the form of visual style, auditory, and kinesthetic. The subjects of this study were students of class of XI Science 1 totaling 29 students and XI Science 2 totaling 30 students. Retrieval of research data is done by using a student learning style questionnaire. Through descriptive data analysis process results obtained show that (a) the tendency of learning styles of the class of XI Science 1 student: 18 students as visual (62.1%), 4 students as auditory (13.8%), and 7 students as kinesthetic ( 24.1 %%); (b) the tendency of students' learning styles in class of XI Science 2: visual are 15 students (50%), auditory are 9 students (30%), and kinesthetic are 6 students (20%). Through this research, it can be seen that the learning styles of students are different, some tend to be visual, auditory, or kinesthetic. Although it appears that the tendency of learning styles of students in Class of XI Science 1 and XI Science 2 is a visual style. Thus, the teacher can determine the right learning design to be implemented in the classroom.
Kiberbiztonság mint a haderőfejlesztés kiemelt területe: a decentralizáció és a blokklánc-technológia lehetőségei a kibertérben
Authors: Huszár Viktor
Published: June 2020

A 21. század haderőfejlesztési stratégiáit meghatározza az organikusan fejlődő, digitális technológiai forradalom. A kiberbiztonságról már nem új fogalomként beszélünk, mert a katonai műszaki tudományok és az informatikai tudományok alaptémájává vált. A hálózatokon új technológiák születnek, amelyek digitális forradalmi csomópontokként viselkedve iparágak sokaságát írják újra. A mesterséges intelligencia, a gépi tanulás és gépi látás gyakran használt szakkifejezések, de a bennük rejlő lehetőségek kiaknázásához az elosztottfőkönyv-technológia és a blokklánc-technológia még feltáratlan. A blokkláncalapú megoldások felhasználási területei szerteágazó, eddig nem ismert tudományos kérdéseket vetnek fel. Katonai felhasználás tekintetében a haderőfejlesztés rákényszerül arra, hogy a hibrid hadviselésre sokkal nagyobb hangsúlyt fektessen, a kutatás-fejlesztésre pedig nagyobb anyagi forrást biztosítson. A blokklánc-technológia lehetővé teszi katonai céllal létrehozott, önkéntes, elosztott hálózatok kriptográfiai eljárással történő együttes fellépését, központi és állami ellenőrzés nélkül. A most zajló digitális paradigmaváltás a decentralizáció, a blokklánctechnológia, a gépi tanulás és a mesterséges intelligencia keresztezéséből indul ki.

KULCSSZAVAK: mesterséges intelligencia, gépi tanulás, gépi látás, elosztott főkönyv, blokklánctechnológia
A kibervédelem katonai dimenziói
Authors: Fekete-Karydis Klára , Lázár Bence
Published: June 2020

A kibervédelem aktualitása hazai és nemzetközi szinten is megkérdőjelezhetetlenné vált, ami a jelenség körüli stratégiák, képzési programok és szakmai fórumok számának gyors növekedésében is megmutatkozik. Az illegális tevékenységek és a terrorizmus új kapcsolódási pontjai egyúttal azt is megkövetelik a kormányzattól, illetékes szerveitől, ügynökségeitől és tisztviselőitől, hogy csak egy kevesek által értett technológia által megtestesített jelenséget szabályozzanak, és továbbfejlesszék a gyorsan változó technológiákkal szembeni védelmet.. A NATO és az Európai Unió kibervédelmi stratégiájának fejlődése meghatározó iránymutatás a hazai szakirányítási rendszer kialakításához.

KULCSSZAVAK: kiberstratégia, kritikus információs infrastruktúra, terrorizmus, kiberbiztonság, NATO, Európai Unió, kibertámadás, hibrid hadviselés, haderőfejlesztés, kibervédelem, Magyar Honvédség
Early Detection of MCI
Authors:   Dept of Electronics & Communication Engineering., JSS Science and Technology University, Mysuru, India, B A Prof Sujatha Kumari , C Radha ,   Dept of Electronics & Communication Engineering. JSS Science and Technology University, Mysuru, India, Yadiyala A G Varun ,   Dept of Electronics & Communication Engineering., JSS Science and Technology University, Mysuru, India, B J Aruna ,   Dept of Electronics & Communication Engineering., JSS Science and Technology University, Mysuru, India, B Shwetha ,   Dept of Electronics & Communication Engineering., JSS Science and Technology University, Mysuru, India
Published: June 2020

Dementia is the brain disorder, that effects the mental cognitive function. Dementia has different stages. when the person is in the early stage they have short memory, losing or misplacing things, the person have more memory loss in moderate stage. During last stage patient completely depends on other for everyday activities. MCI has come to be recognized as an intermediate state of clinical impairment where an individual has mild cognitive symptoms but generally continue to function normally in the community. it is important to determine AD at an earlier stage which is Mild Cognitive Impairment (MCI). Toxic changes may start in the brain at the beginning stage of Alzheimer's disease. MRI Images are used to detect disease at the earlies stage. Wavelet Transform is applied on the MRI Images followed by any feature selection. Machine learning algorithm is used to make prediction. This paper goes through all those studies and techniques used by scientists to unravel the progression of Alzheimer's disease.
An Effective Classification Algorithm for Breast Cancer using Dyadic Projection
Authors:   Head of the Department, Electronics and Communication Engineering, Christian College of Engineering and Technology, Oddanchatram, Tamilnadu, India., Yasodha Dr T , G Arun Balaji ,   PG Scholar, Department of Electronics and Communication Engineering, Christian College of Engineering and Technology, Oddanchatram, Tamilnadu, India
Published: June 2020

Breast Cancer is a wide spread reason for the deaths of women in the world. Nowadays, CAD systems have become the most increasing interest in its detection. In this paper, a new computer-aided diagnosis method is introduced to help oncologists to classify it as benign or evil breast tumors in ultrasound. In the proposed model, bi clustering is done for feature acquisition and then dyadic transform is applied. Biclustering mining is used as a key to identify the regularity patterns in columns on the working out data, Biclustering mining is utilized as a key. At last, to identify the perfect combinations and put them into a strong classifier, AdaBoost learning is applied. Using a dataset the proposed method is evaluated validated and the results are compared with the results of existing methods. The results of the proposed model showed the best calculation, proving it to be effective in laboratory applications.
Assessing PLOS at Road Intersections using Fuzzy Set Theory
Authors:   Associate Professor, Department of Civil Engineering, Maulana Azad National Institute of Technology, Bhopal (M.P.), Kamal Singh
Published: June 2020

Pedestrian level of service (PLOS) is a measure of the quality of pedestrian facilities provided. Assessing the pedestrian level of service is very important for the improvement of pedestrian environment. This paper describes the results of study on the level of service provided and the importance of various parameters that affect the pedestrian level of service at road intersections. In the analysis, fuzzy set theory is applied and a composite pedestrian level-of-service index (PLOSI) is used to assess the level of service. The assessment at five intersections revealed that two intersections have PLOSI values less than the acceptance level. These two locations are lacking the pedestrian facilities and need to be improved. The method applied in this study may be useful in assessing the level of service at other intersections.
Identifying the User As Genuine/Malign Based on Search Logs and Search History
Authors:   Assistant Professor Department of Computer Science and Engineering and Engineering Mahatma Gandhi Institute of Technology of TechnologyHyderabad, India, Bhavani D. Satya , Pavani P. RajyaLakshmi Sobha ,   IV/IV B.Tech Department of Computer Science and Engineering and Engineering Mahatma Gandhi Institute of Technology of TechnologyHyderabad, India
Published: June 2020

One of the major challenges a developer may face is security issues/threats on the labelled data. The labelled data comprises of system logs, network traffic or any other enriched data with threat/not threat classification. . There were few studies which categorized the URLs to a specific category like Arts, Technology, etc. In this paper the main research is on the classification of users based on the search logs(URLs). Manually it is difficult to differentiate the user based on search logs. So, we train a machine learning model that takes raw data as input and classifies the user to genuine or malign. This model helps in intrusion detection/suspicious activity detection. For this first we gather data of past malicious URLS as training set for Naïve Bayes algorithm to detect the malicious users. By implementing KNN algorithm effectively we can detect the malign users up to an accuracy of 94.28%. With the help of Machine Learning algorithms like Naïve Bayes, KNN, Random Forest classifiers we can classify the malign and genuine users
Steel Fibre Reinforced Light weight Aggregate Concrete
Authors:   Research Scholar, Department of Civil Engineering, I.K. Gujral Punjab Technical University,Kapurthala,Jalandhar, Punjab,India, Kaur* Ravpreet , Singh Harvinder ,   Department of Civil Engineering, Guru Nanak Dev Engineering College, Ludhiana,Punjab,India
Published: June 2020

Paper From the past studies on Steel fibre reinforced concrete, it has been established that the performance of concrete can be enhanced by incorporating fibres from waste materials from the commercial benefit and environmental aspect.. Reinforcing concrete with steel fibres (SFRC) increases the tensile strength of concrete thereby improving its brittle behaviour.The major applications of SFRC being in tunnel lining,underground structures,flooring. The analysis presented states that the light weight concrete when incorporated with the waste steel from reinforcement and formworks with different fibre contents yield the comparable outcomes as the already studied fibre reinforced concrete
Emotion Recognition by Integrating Electroencephalography (EEG) and Facial Recognition
Authors:   Information Technology, SRM Institute of Science and Technology, Kattankulathur, India., P. Savaridassan , Kumar Ritul ,   Information Technology, SRM Institute of Science and Technology, Kattankulathur, India., Sharma Shubhangi ,   Information Technology, SRM Institute of Science and Technology, Kattankulathur, India., Khatri Eugansh ,   Information Technology, SRM Institute of Science and Technology, Kattankulathur, India., Khattri Prateek ,   Information Technology, SRM Institute of Science and Technology, Kattankulathur, India.
Published: June 2020

Feeling acknowledgment by examining electroencephalographic (EEG) accounts is a developing region of research. EEG can recognize neurological exercises and gather information speaking to cerebrum signals without the requirement for any obtrusive innovation or systems. EEG chronicles are discovered helpful for the discovery of feelings through observing the attributes of spatiotemporal varieties of initiations inside the cerebrum. Explicit otherworldly descriptors as highlights are removed from EEG information to measure the spatiotemporal varieties to recognize various feelings. A few highlights speaking to various cerebrum exercises are assessed for the arrangement of feelings. A mind PC interface utilizing EEG information encourages the control of machines through the examination and order of signs legitimately from the human cerebrum. The gathered EEG information is examined by an autonomous part investigation based component extraction system and ordered utilizing a multilayer neural system classifier into a few control signals for controlling a robot. The framework additionally gathers the information of electromyography signals characteristic of the development of the facial muscles. Research work is advancing to expand the scope of controls past a lot of discrete activities by refining the algorithmic advances and methods. Facial feeling acknowledgment (FER) is a significant point in the fields of PC vision and man-made brainpower attributable to its noteworthy scholastic and business potential. Despite the fact that FER can be directed utilizing different sensors, this survey centers around examines that solely utilize facial pictures, on the grounds that visual articulations are one of the principle data diverts in relational correspondence. This paper gives a short survey of investigates in the field of FER directed over the previous decades. To start with, traditional FER approaches are portrayed alongside a rundown of the delegate classes of FER frameworks and their fundamental calculations. Profound learning-based FER approaches utilizing profound systems empowering "start to finish" learning are then introduced.
Malaria Parasite Detection using Deep Learning in Thick Blood Smears
Authors:   department of CSE, BVRIT HYDERABAD College of Engineering, affiliated to JNTUH, Hyderabad, India., Tejomaayi* M. Sai. , Divija M. ,   department of CSE, BVRIT HYDERABAD College of Engineering, affiliated to JNTUH, Hyderabad, India., Pavani R. ,   department of CSE, BVRIT HYDERABAD College of Engineering, affiliated to JNTUH, Hyderabad, India., Sreekanth Dr. N. ,   Associate Professor, department of CSE, BVRIT HYDERABAD College of Engineering, affiliated to JNTUH, Hyderabad, India.
Published: June 2020

Detection of malaria disease is done by finding the presence of malaria parasite or plasmodium in blood smear. Here malaria parasites are detected in thick blood smears. This paper proposes a version to detect the presence of malaria parasite(plasmodium) in thick blood smears automatically with the help of deep learning and not using microscopy examinations and chemical tests. This detection will be done using two steps, that is, intensity-based screening which is the preprocessing step, the first step, that extracts candidates for processing, and next is customized convolutional neural network (CNN), the processing step, which takes the preprocessed images and detects whether malaria parasite is present or not. Hold-out(3:1) technique is used for evaluation of the model. The model has achieved an accuracy reaching 91%. The two preprocessing and processing steps improves object detection of the system. Malaria is usually detected using chemical tests and microscopy examinations. This process requires a lot of resources mainly laboratories. Parasitologists who are experienced are sometimes difficult to find, so manually counting the malaria parasites can be prone to major errors. Due to which the cost for testing and even time for malaria diagnosis increases drastically. Since the traditional process of malaria parasite in blood smears detection has many drawbacks it needs a sophisticated, accurate diagnosing equipment or system which has low cost. This system can be used in regions and areas where there are constraints on resources, time of people and cost which they can afford. This system provides many advantages to rural diagnostic centres where the supplies are limited and not easily accessible.
Strength of Concrete containing Rubber as Partial Replacement of Coarse Aggregate
Authors:   Department of civil Engineering, Sri Ramakrishna Institute of Technology, Coimbatore, India., S* Sakthi Murugan. , R Sudharshan. ,   Department of civil Engineering, Sri Ramakrishna Institute of Technology, Coimbatore, India.
Published: June 2020

Effective Waste management is the need of the hour in the world. Solid wastes generated by the industries becomes hazardous as days passes by, used tyres are one such waste material that can affect our environment and people. Rubber tyre wastes can be used as partial replacement for the aggregates. In this study, rubber tyre wastes were used as coarse aggregates. And those rubber aggregates are used as partial replacement of coarse aggregates in the cement concrete (5%, 10%, 15%, 20%). The specimens were subjected to different strength tests as per the standards. It is found that the strength of the concrete is greatly reduced as the percentage of replacement of rubber aggregates is increased. Due to their low strength this type concrete cannot be used for load bearing or structural members. However rubberized concrete can be used for non –structural elements and in future a study can be made whether rubber concrete can be used for pavement blocks.
Analysing the Performance of SDN/OpenFlow Controllers in VANET
Authors:   PG Student, Department of E&TC J T Mahajan College of Engineering, Faizpur Jalgaon, India, Patil* Abhijeet R , Mahajan Dr. P M ,   J T Mahajan College of Engineering, Faizpur Jalgaon, India, Bhagat Dr. Kanchan S ,   Department of E&TC J T Mahajan College of Engineering, Faizpur. Jalgaon, India, Patil Dr. Ravindra D. ,   Principal J T Mahajan College of Engineering, Faizpur Jalgaon, India
Published: June 2020

One of the key enablers of the evolving 5G technology are Vehicular Ad hoc Networks (VANETs) and Software Defined Networking (SDN). The development of next generation intelligent vehicular networks includes integration of SDN in Vehicular Ad hoc Networks (VANETs). Researchers have focused on the development of the integrated technology including architecture and benefits of SDN based VANET services. In this paper we have simulated the Vehicular Ad hoc Networks (VANETs) using Mininet-wifi. The VANET is incorporated with SDN controller. The performance is evaluated by varying the speed of vehicles. We have evaluated the performance in two ways: performance evaluation of V2V communication in same RSU and performance evaluation of V2V communication from different RSU. We have evaluated the proposed system for POX and RYU SDN OpenFlow controllers. As demonstrated in the results the RYU controller of SDN performs better as compared to POX controller in terms of average delay and throughput.
Predicting the outcome of H-1B visa using ANN algorithm
Authors:   Department of Mechanical Engineering, Thapar Insti- tute if Engineering and Technology, Patiala, India, Khaterpal* Raghav , Ahuja Harit ,   Department of Computer Science and Engineering, SRM Institute of Science and Technology, Kattankulathur, Chennai, India., Goel Jatin ,   Department of Information Technology, SRM Institute of Science and Technology, Kattankulathur, Chennai, India., Singh Karanveer ,   Department of Mechanical Engineering, Thapar Institute if Engineering and Technology, Patiala, India, Manoj Rahul ,   Department of Computer Science and Engineering, SRM Institute of Science and Technology, Kattankulathur, Chennai, India.
Published: June 2020

H-1B visa allows US employers to employ nonimmi- grant workers on a temporary basis. This visa only allows specialty workers to gain employment in the United States which means people who have a bachelor’s degree or equivalent work experience are eligible. The duration of H-1B visa is 3 years and it may extend to 6 years. The H-1B visa is the most sought after visa in the world, however it has a low approval rate. In 2019, 200000 people applied for the visa worldwide of which only 85000 people were selected which means an approval rate of only 42%. This fight to obtain the visa is getting more competitive as the US Economy improves. This selection depends upon a number of factors such as employer, wage etc. This paper helps to predict whether an individual can gain the H1B visa or not taking in account all the relevant factors. The proposed system secured a high accuracy of 96% by using ANN algorithm.
Automated Health Alert System using machine learning
Authors:   Department of IT, VRSEC, Vijayawada, India., Nuthakki Praveena , Madhavilatha P. ,   Department of IT, VRSEC, Vijayawada, India., Madhavi K. ,   Department of IT, VRSEC, Vijayawada, India.
Published: June 2020

The social insurance condition is commonly seen as being 'data rich' yet 'information poor'. There is an abundance of information accessible inside the social insurance frameworks. Notwithstanding, there is an absence of powerful investigation apparatuses to find shrouded connections and patterns in information. Information revelation and information mining have discovered various applications in business and logical area. Important information can be found structure use of information mining strategies in medicinal services framework. The human services industry gathers enormous measures of medicinal services information which, lamentably, are not "mined" to find shrouded data. For information preprocessing and viable dynamic Naïve Bayes classifier is utilized. It is an augmentation of Naïve Bayes to uncertain probabilities that targets conveying strong characterizations additionally when managing little or deficient informational indexes. The HUI digger is utilized to locate the high utility thing sets from a database. Disclosure of shrouded examples and connections frequently gets unexploited. Utilizing clinical profiles, for example, age, sex, circulatory strain and glucose it can anticipate the probability of patients getting a coronary illness. It empowers huge information, for example designs, connections between clinical elements identified with coronary illness, to be set up
An Improved Pedestrian Detection Algorithm using Integration of Resnet and Yolo V2
Authors:   Department of Computer Science and Engineering, Rajalakshmi Engineering College, Chennai, India., Geethapriya* S. , Kumar Dr. P. ,   Professor, Department of Computer Science and Engineering, Rajalakshmi Engineering College, Chennai, India.
Published: June 2020

Pedestrian detection is one of the important tasks in object detection technology. The pedestrian detection algorithm has been used in applications like intelligent video surveillance, traffic analysis, and autonomous driving. In recent years, many pedestrian detection algorithms have been proposed but the key drawback is the accuracy and speed, which can be improved my integrating efficient algorithms. The proposed model improves the pedestrian detection algorithm by integrating two efficient algorithms together. The model is developed using the joint version of ResNet and YOLO v2, which preforms feature extraction and classification respectively. By using this model the efficiency of the system is increased by improving the accuracy rate so that it can be used with real-time applications. The model has been compared with existing models like SSD, Faster R-CNN and Mask R-CNN. Comparing with these models, the proposed model provides mAP value higher than these existing models with less loss function when tested on the INRIA dataset.
360 Degree Flexible Drilling Machine
Authors:   Assistant Professor, Department of Mechanical Engineering, JEMTEC Greater Noida, UP, India., Singh* Mr. Gurpreet , Kishore Lakshay ,   Student, Department of Mechanical Engineering, JEMTEC Greater Noida, UP, India., Singh Pradip ,   Student, Department of Mechanical Engineering, JEMTEC Greater Noida, UP, India., Srivastava Abhishek ,   Student, Department of Mechanical Engineering, JEMTEC Greater Noida, UP, India., Vashishth Khushal ,   Student, Department of Mechanical Engineering, JEMTEC Greater Noida, UP, India, Likhar Rahul ,   Student, Department of Mechanical Engineering, JEMTEC Greater Noida, UP, India.
Published: June 2020

Nowadays, the drilling machine is developing very fast with more uses and application. In basic drilling machine, the machine work in particular direction which is the limitation in this machine. And there is more problem like space between the drill and job is very less. In this project we are working on the flexible drilling machine which can work in any direction and can be adjust as per choice. And drilling machine work automatically that can make work easier and can done more accurately. It is mounted on the flat surface as like table which can rotate in any direction, move up and down. It will reduce the setting time and capital for the operation. And in this drilling machine, we use permanent magnetic chuck which is attached to drilling machine.
Designing of Truncated Square Micro Strip Patch Antenna for Circular Polarization
Authors:   working as Assistant Professor in ECE Department, Prasad V Potluri Siddhartha Institute of Technology, Kanuru, Vijayawada, India., Boppana* Swathi Lakshmi , Keerthana K. ,   is pursuing B.Tech in ECE Department, Prasad V Potluri Siddhartha Institute of Technology, Kanuru, Vijayawada, India., Vardhan K.Y.N. ,   is pursuing B.Tech in ECE Department, Prasad V Potluri Siddhartha Institute of Technology, Kanuru, Vijayawada, India.
Published: June 2020

In this article design of an antenna which is wearable with Circular Polarization(CP) is presented. This antenna works at 2.45GHz frequency band for WLAN applications. A square patch antenna with corners truncated will degenerate TM10 mode into two orthogonal modes. The realization of circular polarization is presented in this paper. This paper will clearly explain the working of patch cut circularly polarized micro strip patch antenna for wireless communication purposes and also as wearable antenna.
Recommendation of Distance Education Colleges to Students based on Alumni Feedback
Authors:   Department of Computer Science and Engineering, Dr. Mahalingam College of Engineering and Technology, Pollachi, Tamilnadu, India, N* Harshini G , N Gobi ,   Department of Computer Science and Engineering, Dr. Mahalingam College of Engineering and Technology, Pollachi, Tamilnadu, India, Rathinavelu Dr.A. ,   Department of Computer Science and Engineering, Dr. Mahalingam college of engineering and technology, Pollachi, Tamilnadu, India
Published: June 2020

Sentiment Analysis (SA) systems are very common because most people trust it based on the opinions, emotions, attitudes and feelings shared by the users for decision making purposes about the product, service, news analytics etc. Sentiment analysis or opinion mining is used to automatically detect and classify sentiments into positive, negative or neutral opinion on product or service through certain algorithms. The expeditious growth of internet leads to the increase of reviews about product, services, movies, restaurants or vacation destinations and organizations. In order to increase or decrease the market value of the product, spammers may give the fake ratings. Sentiment Analysis system face great difficulties in deploying the algorithms to classify each review as either honest review, posted by the customers after using the products, or spam review, posted by the individual spammer or spammer groups. Another major challenge faced by the sentiment analysis system is that it lacks the accuracy of predicting implicit and explicit features present in the dataset is low, which is the major challenge in opinion mining system. The proposed system deals with text pre-processing which helps in improving the overall performance of the sentiment analysis systems and an effective system is developed to identify the fake reviews present in the dataset. Association Rule Mining along with K-Means clustering is used to achieve higher efficiency in classification of implicit and explicit features. Lexicon method is used for the classification of sentiments into positive and negative polarities. The advantage of proposed system is that, it can identify and remove the fake reviews in the dataset and extraction of both implicit and explicit feature can be identified through Lexicon based Method along with its polarities.
Intuitionistic Fuzzy Normal Operator on IFH - Space
Authors:   Assistant Professor, Department of Mathematics, Chikkanna Govt. Arts College, Bharathiar University, Tamil Nadu, India., A* Radharamani , S Maheswari ,   Assistant Professor, Department of Mathematics, Tiruppur Kumaran College for Women, Bharathiar University, Tamil Nadu, India.
Published: June 2020

In this article, we define Intuitionistic Fuzzy Normal Operator operating on an IFH-Space. An operator 𝓢 is an intuitionistic fuzzy normal operator if 𝓢𝓢∗=𝓢∗𝓢 i.e. 𝓢 commutes with its intuitionistic fuzzy adjoint.