bluuebunny/crossref_metadata_2025 huggingface dataset:
Percutaneous Pinning of Proximal Humerus Fractures: A Biomechanical Study
Authors: Naidu Sanjiv H , Bixler Brian , Capo John T , Moulton Mark J R , Radin Alex
Published: January 2021

ABSTRACT

Mechanical testing of two-part surgical neck fractures fixed with four different pin configurations was performed. Ten fresh, frozen, unembalmed humeri stripped of all soft tissues were used; the surgical neck was osteotomized perpendicular to the humerus long axis. Terminally threaded 2.5-mm AO pins were used to fix the fracture. Humeri then were tested in both torsion and bending on a custom-made jig using lnstron 1 331 to assess the rigidity of pinning constructs. In torsion, two lateral pin construct was significantly less rigid than all other pin configurations. The addition of an anterior pin to two lateral pins did not increase bending rigidity, but significantly increased torsional stiffness. The addition of two bicortical tuberosity pins or two bicortical tuberosity pins and one anterior pin to two lateral pins significantly increased rotational and bending rigidity. Results confirm clinical data, and the authors conclude that multiplanar pins are needed to augment torsional stiffness, and that the addition of two bicortical tuberosity pins enhances bending rigidity.
Arthroscopic Treatment of a PCL Avulsion Fracture in a Skeletally Immature Patient
Authors: Kwon Oh Soo , Park Min Jung , Kelly John D.
Published: January 2021

Posterior cruciate ligament (PCL) avulsions from the tibial attachment site in children are rare. Six cases have been reported in the English literature since 1975. Osteochondral avulsions of the PCL can be easily missed on plain radiographs in skeletally immature patients because of the rarity of these injuries and open proximal tibial physis. To properly recognize and treat the condition, careful physical examination and adequate imaging studies are crucial. Few case reports demonstrate successful surgical treatment of the injury using screw fixation.

This article presents a case of a 13-year-old girl with tibial avulsion of the PCL treated by arthroscopic reduction and pull-out suture, sparing the epiphyseal plate using a posterior transseptal portal. The proximal substance of the avulsed PCL was grasped with a suture hook introduced from posterolateral to posteromedial rather than through the small, fragmented bony portion. The suture material was passed and retrieved through the bony tunnel from posterior to anterior above the epiphyseal plate.

Although it has not been proven yet in terms of biomechanical benefit, we believe this alternative treatment to PCL avulsion injuries in skeletally immature patients will provide sufficient strength to maintain ligament tension during the healing process and avoid physeal injury.
Automorphism group and twisted modules of the twisted Heisenberg-Virasoro vertex operator algebra
Authors: Guo Hongyan
Published: January 2021

We first determine the automorphism group of the twisted Heisenberg-Virasoro vertex operator algebra $ V_{\mathcal{L}}(\ell_{123},0) $. Then, for any integer $ t>1 $, we introduce a new Lie algebra $ \mathcal{L}_{t} $, and show that $ \sigma_{t} $-twisted $ V_{\mathcal{L}}(\ell_{123},0) $($ \ell_{2} = 0 $)-modules are in one-to-one correspondence with restricted $ \mathcal{L}_{t} $-modules of level $ \ell_{13} $, where $ \sigma_{t} $ is an order $ t $ automorphism of $ V_{\mathcal{L}}(\ell_{123},0) $. At the end, we give a complete list of irreducible $ \sigma_{t} $-twisted $ V_{\mathcal{L}}(\ell_{123},0) $($ \ell_{2} = 0 $)-modules.
Assessment of potential drug interactions among psychiatric inpatients receiving antipsychotic therapy of a secondary care hospital, United Arab Emirates
Authors: Aburamadan Haneen A.R. , Sridhar Sathvik Belagodu , Tadross Talaat Matar
Published: January 2021

The majority of the antipsychotic drugs are also known to interact with other co-administered drugs. Drug–drug interaction (DDI) reports among patients receiving antipsychotic medications are common. The study aims to identify the potential drug–drug, drug–tobacco, and drug–ethanol interactions associated with antipsychotics and significant predictors of potential DDIs (pDDIs). A prospective observational study was conducted among psychiatric inpatients receiving antipsychotic therapy and met the inclusion criteria that were reviewed for the presence of pDDIs using DRUGDEX-Micromedex database 2.0. The identified pDDIs were graded according to the severity and type of documentation. A total of 110 patients had a minimum of a single interaction, and the overall frequency of pDDIs reported was 64.7%. Of 158 pDDIs, 92 interactions (58.2%) were of major severity, while 66 interactions were of moderate severity (41.8%). Olanzapine with valproate (40 [25.3%]) was the most commonly documented pDDIs, followed by risperidone with valproate (20 [12.6%]). Olanzapine with tobacco (20 [69%]) was the most common drug–tobacco interaction. Simultaneously, olanzapine with ethanol was the most common potential drug and ethanol interaction (9 [50%]). Variables such as the number of drugs and polypharmacy statistically significantly predicted pDDIs (F[7, 162] = 8.155, P < 0.05, R2
= 0.26). Knowing the severity of different pDDIs will help clinicians and prescribers monitor patient safety through regular monitoring for interactions and adverse drug effects in future. The number of medications and polypharmacy was found to be the most significant predictor of pDDIs.
Cytotoxicity and proliferation evaluation on fibroblast after combining calcium hydroxide and ellagic acid
Authors: Nirwana Intan , Munadziroh Elly , Yogiartono R. Mohammad , Thiyagu Candrika , Ying Chong Sin , Dinaryanti Aristika
Published: January 2021

Calcium hydroxide induces chronic inflammation and pulp tissue necrosis due to its high pH value. Ellagic acid is an anti-inflammatory and antioxidant flavonoid. Therefore, the effect of combining calcium hydroxide and ellagic acid must be researched to reduce cell damage due to the application of calcium hydroxide. The objective of the study was to determine the cytotoxicity and proliferation of fibroblasts after combining calcium hydroxide and ellagic acid with ratios of 99:1, 98:2, 97:3, 96:4, and 95:5. Calcium hydroxide and ellagic acid with different ratios were mixed with water and stirred. Rat gingival fibroblasts were prepared and incubated in two 96-well microplates. The control group and treatment groups (16 samples) were placed in the microplate and incubated for 1 and 3 days. An MTT assay test was performed, and the absorbance was observed using the ELISA reader with a wavelength of 540 nm. Following that, the cell viability was calculated. The results were tabulated and analyzed using a one-way ANOVA. For all treatment groups, the fibroblast cells showed a viability of higher than 50%. There was a significant increase (P < 0.05) in the fibroblast cell proliferation after combining calcium hydroxide and ellagic acid with ratios of 99:1 and 97:3. The combination of calcium hydroxide and ellagic acid is nontoxic. The treatment groups with ratios of 99:1 and 97:3 showed increased fibroblast cell proliferation.
S-deoxydihydroglyparvin from Glycosmis parva inhibits lipopolysaccharide induced murine macrophage activation through inactivating p38 mitogen activated protein kinase
Authors: Laprasert Chanyanuch , Chansriniyom Chaisak , Limpanasithikul Wacharee
Published: January 2021

Macrophages play major roles to produce several pro-inflammatory and inflammatory mediators in chronic inflammatory diseases. All current anti-inflammatory drugs target these mediators to alleviate inflammation. Searching for new anti-inflammatory agents is always needed due to problems from the clinical use of current anti-inflammatory drugs. We intended to evaluate the anti-inflammatory potential of three main compounds, arborinine, methylatalaphylline, and S-deoxydihydroglyparvin (DDGP), from Glycosmis parva leaves and branches on macrophage stimulated by lipopolysaccharide (LPS). Only DDGP demonstrated a potent inhibitor of LPS-activated macrophages. Results indicated that the mRNA level of inducible nitric oxide synthase (iNOS) was inhibited by the treatment in accompany with the decreased nitric oxide (IC50 at 3.47 ± 0.1 μM). DDGP was shown to suppress tumor necrosis factor-α, interleukin (IL)-1, and IL-6 at the mRNA expression and at the released protein levels. In addition, DDGP inhibited the several chemokines, monocyte chemoattractant protein-1 and macrophage inflammatory proteins-1α, and enzymes for prostaglandin (PG) synthesis. It also inhibited PGE2 production. On LPS signaling pathways, DDGP profoundly decreased phosphorylation of p38 mitogen-activated protein kinase (MAPK) in the LPS-treated cells. It had little or no effect on the activation of JNK, ERK and nuclear factor kappa B. In conclusion, results suggested that DDGP from G. parva inhibited expression and production of inflammatory molecules in LPS-activated macrophages through suppressing p38 MAPK activation. DDGP should be a good candidate anti-inflammatory agent in the future.
Antidiabetic and anticancer activity of Chinese water chestnut (Eleocharis dulcis) extract with multistage extraction
Authors: Baehaki Ace , Widiastuti Indah , Lestari Susi , Masruro Masruro , Putra Hemi Adi
Published: January 2021

The aims of this research were to observe yield extract, phytochemical content, the antidiabetic and anticancer activity of Chinese water chestnut. This research method used an experimental laboratory, and data analysis was carried out descriptively. The stages carried of this research are sample extraction, extract yield, phytochemical analysis (flavonoid and phenolic content), antidiabetic, and anticancer activity. The results showed that the yield of extract using ethanol on Chinese water chestnut was higher than that extracts using n-hexane and ethyl acetate solvents. Phenolic and flavonoids compounds are polar so that the results of extracts with ethanol solvents show higher values than that extracts using n-hexane and ethyl acetate solvents. The result of antidiabetic activity has the highest value at a concentration of 2000 ppm using ethanol value of 65.74%. The results of the anticancer activity were expressed by (IC50), the IC50 value of the n-hexane extract was 1.231.74 ppm, ethyl acetate 941.04 ppm, and ethanol 2.261.90 ppm.
A single dose of in situ gel formulation of antimalarial drug chloroquine phosphate as a sustained prophylactic candidate for COVID-19
Authors: Zelai Noha Talal
Published: January 2021

In the ongoing COVID-19 outbreak, a prophylactic drug is strongly needed to stop the spread of this disease. Chloroquine (CQ) has been proposed as a prophylactic for individuals who are likely to be exposed to the virus. This study aimed to study the ability of CQ to act as a prophylactic treatment for susceptible people. The pharmacokinetic profiles of in situ gel and free CQ phosphate were determined using high-performance liquid chromatography. The effects of both formulations were examined on both liver and kidney functions. CQ levels were sustained in the plasma of both free and in situ gel-treated groups. Thus, our study shows that the in situ gel of CQ provides sustained release of CQ that is given only as a single dose. However, it should be used cautiously in patients with liver or kidney dysfunction.
The effect of coating chitosan on Porphyromonas gingivalis biofilm formation in the surface of orthodontic mini-implant
Authors: Anggani Haru Setyo , Perdana Renaldo Guruh , Siregar Erwin , Bachtiar Endang Winiati
Published: January 2021

Infection is the main problem for the failure of orthodontic mini-implant. Modern prevention of infection is now focused on local antibacterial coatings on implant devices. Chitosan is biocompatible and has antibacterial properties. Azithromycin is a synthetic antibiotic with immunomodulatory properties in which it has an advantage over the rest of antibiotics. This study aimed to evaluate the effect coating chitosan on the orthodontic mini-implant in Porphyromonas gingivalis biofilm formation. This is an experimental study using 25 orthodontic mini-implants. Five samples were coated with chitosan, 5 samples were coated with chitosan–azithromycin, 5 samples were coated with azithromycin, 5 samples were uncoated, and 5 samples were uncoated and were not exposed to P. gingivalis. P. gingivalis biofilms on the surface of the orthodontic mini-implant were observed after 24 h of incubation. P. gingivalis biofilm mass inhibition was highest in the azithromycin-treated group, followed by chitosan + azithromycin and chitosan only. The one-way ANOVA statistic test and post hoc Bonferroni statistic test of P. gingivalis biofilm mass show a significant difference between and within groups of experiments (P < 0.05). The Pearson correlation test with a value of R = +0.88, indicated that the bacterial viability count and the biofilm mass have a strong positive correlation. In conclusion, orthodontic mini-implant coated with chitosan, chitosan with azithromycin, or azithromycin only effectively suppressed P. gingivalis biofilm formation.
Missed Case of Pancreatogenic Diabetes Diagnosed Using Ultrasound
Authors: Chakravarthy M. Deyananda , Thangaraj Prabha , Saraswathi S.
Published: January 2021

Nonalcoholic pancreatogenic diabetes mellitus (type 3c DM) is an often-misdiagnosed entity usually seen in young men of tropical countries. Although most of the patients present with abdominal pain and symptoms of exocrine pancreatic insufficiency, there is still a subset that does not present with these classical symptoms, which emphasizes the need for special diagnostic considerations. The significance of identifying this subset of diabetic lies not only in the change in management of the disease but also in early detection for pancreatic carcinoma that is more common among those patients. In our case, ultrasound with X-ray played a vital role in diagnosis, prompting us to consider it as an essential part of the investigation panel in all newly diagnosed nonobese diabetic individuals.
Mild hypothermia with selective antegrade cerebral perfusion during cardiopulmonary bypass and short-term outcomes in children with congenital heart defects
Authors: Bhalala Utpal S , Awadhare Pranali , Thangavelu Malarvizhi , Owens Richard , Zamora Maria , Nento Daniel , Appachi Elumalai , Mumtaz Muhammad A
Published: January 2021

Background:

Among the known risk factors for children undergoing surgery for congenital heart defect (CHD), temperature and blood flow during cardiopulmonary bypass (CPB), are two risk factors, which may be altered to improve outcomes. Moderate - to - deep hypothermia (MDH), traditionally used, has been associated with short/long-term neurologic sequelae, so there is a move towards mild hypothermia (MH) with selective antegrade cerebral perfusion (SACP).

Aims and Objectives:

To assess feasibility of mild hypothermia with selective antegrade cerebral perfusion during cardiopulmonary bypass as a cardiopulmonary bypass strategy in neonates and infants undergoing surgery for congenital heart defect.

Materials and Methods:

We conducted a retrospective chart review of neonates and infants who underwent SACP on CPB during CHD surgery at our tertiary care children's hospital between January 2014 and February 2017. We categorized all the patients into 2 groups - MH + SACP or MDH + SACP. We gathered data on preoperative, intra-operative and post-operative parameters. We analyzed comparative data using student t-test and chi-squared test with a significant p-value < 0.05.

Results:

There were 6 in the MH + SACP group and 7 in the MDH + SACP group, who underwent SACP on CPB during study period at our children's hospital. All the neonates and infants in the MH + SACP group survived at the hospital discharge with favorable neurologic outcomes. There was no statistically significant difference between the two groups for end organ dysfunction, ventilator days, hospital days, ICU and hospital mortality and PCPC/POPC at hospital discharge.

Conclusions:

Mild hypothermia with selective antegrade cerebral perfusion during cardiopulmonary bypass is a feasible cardiopulmonary bypass strategy in neonates and infants undergoing surgery for congenital heart defect.
Acute necrotizing encephalopathy of childhood
Authors: Kumar Surjeet , Kumar Vijay , Singanamalla Bhanudeep , Vyas Sameer , Angurana Suresh Kumar
Published: January 2021

Acute necrotizing encephalopathy of childhood (ANEC) is an uncommon cause of acute onset febrile encephalopathy, which progresses rapidly and has poor outcomes. We reported a 4-year-old female who presented with acute febrile encephalopathy, raised intracranial pressure (ICP), and respiratory failure. The brain imaging was suggestive of ANEC. The treatment included antibiotics, antivirals, mechanical ventilation, measures to lower ICP, intravenous immunoglobulin, and supportive care in the Pediatric intensive care unit with which she made a remarkable recovery.
A Prospective Observational Study Comparing Effects of Call Schedules on Surgical Resident Sleep and Physical Activity Using the Fitbit
Authors: Kelly-Schuette Kathrine , Shaker Tamer , Carroll Joseph , Davis Alan T. , Wright G. Paul , Chung Mathew
Published: January 2021

Background

Surgical residency training has an extended tradition of long hours. Residency programs use a variety of call schedules to combat resident fatigue and sleep deprivation while maintaining adherence to duty hour restrictions. Nonetheless, there is a paucity of data regarding objective measurements of sleep during the different call schedules included in general surgery training.

Objective

The primary objective of this study was to compare the quantity of sleep in 24-hour time frames across all types of shifts worked by general surgery residents at our institution. The secondary objective was to measure activity level in total steps during various time frames.

Methods

This prospective observational study was performed between April 4 and August 26, 2018, with general surgery residents. Each resident was assigned a Fitbit Charge 2 to wear during all rotations, including general surgery and subspecialty services.

Results

Twenty-six out of 31 residents voluntarily participated in the study (84%). In-house call (IHC) had significantly less sleep in a 24-hour time frame than home call and night float (144 vs 283 vs 246 minutes, P < .001 and P < .028). IHC had significantly more steps than home call (11 245 vs 8756 steps, P = .039). The smallest number of steps was obtained when residents were not working (7904 steps).

Conclusions

Our data demonstrate that surgical residents on IHC have significantly less sleep compared to all other types of on-call time frames. Residents on IHC have the most steps across all time frames.
Enhanced Frequency Reconfigurable Antenna for LTE Implementations
Authors: N Sathishkumar , V Nandalal , V Balaji , R Babuji , V Gnanaprakash
Published: January 2021

The design is focused on fabrication and testing of frequency reconfigurable antenna designed to operate in LTE and Wi-Fi implementations. The reconfigurable mechanism is governed by three PIN diodes and the operating bandwidth (1.38 GHz - 3.24 GHz) is efficiently controlled by diode’s different operating states. The antenna’s working principle is elucidated with the reflection coefficient, VSWR, gain and directivity characteristics. The antenna exhibits a maximum gain of 2.23 dBi and the VSWR of less than 1.5 throughout the bandwidth. The ON and OFF conditions of the diode go well with the desired operation and it does not induce the cross polarization. This work aims to design the simulations which are conceded using ANSYS HFSS full wave EM simulator and the measurements are in accordance with the simulated one.
3 rd Eye ‐ An Ultrasonic Stick With Intelligent Voice Assistance And Object Finding For Visually Impaired People
Authors: N Kalaivani , K Siddharthraju , S Sophia , P Sanjeevi Kumar
Published: January 2021

The proposed work aims for the betterment of the visually impaired people by helping them to perform their basic needs independently. The Ultrasonic Blind Stick comes with a built-in voice assistant through which the users can perform actions like making a phone call, knowing the time, current weather, setting reminders etc. The stick also comes with a built in GPS system. This can be used by the blind person to transmit their location to a predefined mobile number at the press of a button. This can also be used to track the stick in case it gets lost. The stick detects the objects at a distance and warns the user that they are approaching an object. The stick also identifies the object as the user goes near to the object and informs the user what the object is. A voice assistant system is developed. This system converts voice into text. Recognition of voice varies due to dictionary size and the type of speech. The system should extract the features and should be trained to find the correct words. Another aim of the proposed work is to detect the object and informing the blind person using deep learning algorithm technique. For every object there will be a value generated which compares it to a predefined set of values and checks similar values. Once the value matches, output will be displayed in such a way that it indicates the object name and the deduction percentage of the object.
Technology factors of Online Shopping and its impact on Attitude with special reference to Student Community
Authors: M Siva Sangari , R Rajendra Kumar
Published: January 2021

Even though various security mechanism got adopted, hackers always penetrate and overseeing the transaction. Various strategies or technological intervention are being adopted to enhance the safety of the transactions. The factors of internet security, website speed and context of the products are playing vital role on the successful online promotion. These issues are complex and very difficult to solve this through existing mechanism. Through this analysis, all the technological aspects as mentioned above have been analyses and suitable measures were adopted to overcome this problem. This study aimed to analyse various technical factors such as Awareness, download time, Representativeness, Technical experience, Duration of Internet usage and components such as frequency of shopping, product purchased, Time spent, Money spent and Mode of Payment its impact on attitude through ANOVA. This study shows that almost all factors have positive impact in the attitude related to the Technological factors considered for the study.
A Survey on Predicting Pedestrian Safety based on Physical and Psychological factors of Pedestrians Motion
Authors: N Nandhini , M Siva Sangari
Published: January 2021

Walking is the special mode of transportation that comprises 60% of the World’s population. This population includes the pedestrians as the focus of sight, because they are considered as the road users. Understanding the behavior of road users is a difficult task as people have complex mindsets. When people are crossing the road, they have been subjected to various attitude issues and other psychological issues. The prediction of the pedestrian’s motion is very ridiculous, because their motions has to be predicted related to the traffic parameter. A prediction algorithm always uses the past experiences to anticipate the future events. These algorithms use the set of sample data from a sample collected over a period. This makes prediction algorithms more ideal to use within smart environments. So as a part of this study, we have compared various algorithms, for their accurateness of the prediction on pedestrians’ movements. This paper also focuses on the various pedestrian’s data set, pedestrian behavior estimation and the various algorithms used to predict the behavior of the people. As a part of our research on pedestrian safety prediction would be done by providing an efficient prediction algorithm based on their movements, ecological factors, pedestrians’ psychological factors, other outreaches.
An Effective Pulse Width Modulation Technique Analysis for CHB Multilevel Inverters
Authors: S Vivekanandan , C J Vignesh , V Kamalkumar , K Balamurugan
Published: January 2021

This paper narrates the pulse width modulation techniques used in the multilevel inverters (MLIs). In the recent industrial revolution era, MLIs found in medium voltage high power applications especially in drives domain. The control technique employed in the MLIs decides the effective conversion of power in the circuit. The harmonic content present in the output signal will lead to the performance changes in the load side. This is indicated as measure of total harmonic distortion (THD). The output signal from MLIs is fewer harmonic when the number of levels is high without any filtering process. In addition, the control method of MLIs decides the effectiveness of the system and calculating the THD. There are different types of control methods employed in the MLIs in the various literatures. Each method differs from its benefits and suitable for driving the inverter switches for a particular application. The working of each models was discussed in detail. The models are created in MATLAB/Simulink platform and analyzed its effectiveness.
Perspective On Plasma Technology Employing Pulsed High Voltage Topologies
Authors: R Senthil Kumar , K Mohanasundaram , S Harshavardhan Naidu
Published: January 2021

Versatility of the plasma technology has grabbed its application in a board field starting from the field dealing with microorganism to space science, the primary requirement the technology initiates with the generation of pulsed high voltage of various range as per the application it varies from 0.1-100 KV/cm. the article bestows the evolution and classification of pulsed HV after a comprehensive review of various topologies employed for plasma technologies, it provide a comparative study of various general topologies with an insight of it merits and demerits. Spot light is being showered over the evolution opted by the topologies as the solution for the issues faced mainly back corona effect and effect on line due the harmonics pumped by the pulsed HV generators.
Dual Phase Analysis Based Harmonic Elimination in Multilevel Inverters
Authors: V J Vijayalakshmi , P Ravikumar , R Uthirasamy , J Karpagam
Published: January 2021

In this paper Dual Phase Analysis based harmonic elimination technique is proposed for eliminating selected harmonics present in the multilevel inverters. Elimination of harmonics is done by considering equal DC sources. The switching angles are calculated using Artificial Neural Network. As an example, nine level inverters are considered and simulated using the switching angles obtained from the optimization technique for non linear loads. The simulation results validate the effectiveness of the method in eliminating selected harmonics present in the inverter circuit.
Novel Vivaldi Antenna Design for 5G Applications
Authors: S Satheesh Kumar , Pushpanathan Pradeep , B Maruthi Shankar , J Muralidharan J
Published: January 2021

This article presents a small-scale Vivaldi wideband antenna. The proposed antenna has a large bandwidth and high radiation level with the compact structure. Simulated and rendered using a substratum of FR-4, a total of 20 mm2 of 17 mm2 is proposed antenna. The declared design resonance is 5.8 GHz (4.94GHz – 7.61GHz) with a bandwidth for impedance of 2.67 GHz. The efficiency is improved by 98.9% and 3.66 dB which is included in the proposed architecture are applications for IoT, 5G, WLAN, the Smart Transport System (ITS) and RFID.
Demand Side Management for Charging Plug-In Hybrid Electric Vehicles
Authors: P Praveena , V S Chandrika , I Baranilingesan , S Ravindran , C Pazhanimuthu
Published: January 2021

In future the usage of Plug-in hybrid electric vehicles (PHEV) will be in wide range, which will impose huge burden to the distributive system. The peak load at the distribution system can be controlled by Demand Side Management (DSM) strategy. In the proposed study, the load curve of Low-voltage Transformers (LVTs) is made to be flatten, on satisfying the requirement of charging PHEV at given time to the required level. The proposed problem statement is formulated as convex optimization problem, and then the random arrival of PHEV is handled by introducing the moving horizon strategy. Based on this, the PHEV are being disconnected from the LVTs beyond their respective exit times. Such that the demand curve of the LVTs is flattened. This problem is solved using MATLAB and the power demand curves of the LVTs, power curves of the PHEVs and non- PHEV load are compared over a time of 24 hours to show that the power curve is flattened with the penetration of PHEV.
Real Time LDR Data Prediction using IoT and Deep Learning Algorithm
Authors: S Chandraprabha , G Pradeepkumar , Ponnusamy Dineshkumar , M D Saranya , S Satheesh Kumar , R Sowmya
Published: January 2021

This paper outfits artificial intelligence based real time LDR data which is implemented in various applications like indoor lightning, and places where enormous amount of heat is produced, agriculture to increase the crop yield, Solar plant for solar irradiance Tracking. For forecasting the LDR information. The system uses a sensor that can measure the light intensity by means of LDR. The data acquired from sensors are posted in an Adafruit cloud for every two seconds time interval using Node MCU ESP8266 module. The data is also presented on adafruit dashboard for observing sensor variables. A Long short-term memory is used for setting up the deep learning. LSTM module uses the recorded historical data from adafruit cloud which is paired with Node MCU in order to obtain the real-time long-term time series sensor variables that is measured in terms of light intensity. Data is extracted from the cloud for processing the data analytics later the deep learning model is implemented in order to predict future light intensity values.
Product Reviews Classifications-A Data Science Approach
Authors: B. Raut Nitin , M Premkumar , S Kharthikeyan , M Mohan , V Vijayganth , S Srithar
Published: January 2021

Reviewing the product is an important step for e-commerce platforms. Getting reviews from customers and analysis of reviews consumes many resources. As the number of reviews received day by day is increasing very rapidly, reviews should be classified as fake review and Genuine reviews. The total accumulation of reviews and analysis is different from natural language processing problem. Spammers are hired for biased reviewing of products. In this paper we put a novel comparison between purchase list and reviews. We have applied a method for finding duplicate reviews; measure the total numbers of reviews and their mismatch in counts, at the end count dispersion for every product and classification of reviews. We applied data science approach for classification and visualization to get fake reviews. We label the reviews either positive or negative based on comparison between them. A data science approach is applied because for a well-known product the reviews can goes up to many thousands.
Fuzzy Logic in Agriculture – A Short Review
Authors: Devarajan Balaji , L Rajeshkumar , V Bhuvaneswari , A K Priya , P Rajesh
Published: January 2021

The Fuzzy Logic (FL) is a variant of soft computing which its versatile it widens its applications to all domain. This article focuses on its application in agriculture. The scope of this logic is not limited to few areas of agriculture. It is extended from the soil analysis to complete plant production, all the areas are comprised by the usage of FL. The short wider literature survey is carried out to understand the FL in agriculture.
Analytics of Specialized Data by Data Mining
Authors: S Gnanamurthy , Kaliappan Vishnu Kumar
Published: January 2021

In this paper, we are trying to discover Predictive Analytics by means of combining special information mining methods with large data. Predictive lookup consists of a number of mathematical and analytical techniques to increase new techniques for doable prediction possibilities. The paper also portrays the integration of Big Data characteristics as the foundation of Data Mining by Apache Hadoop's usefulness in achieving the above. With the resource of accessible statistics mining techniques, predictive analytics predicts the activities in future and can make tips referred to as prescriptive analytics. This evaluates paper offers clear thought to follow facts mining strategies and predictive analytics on distinctive clinical dataset to predict a variety of ailments with accuracy levels, execs and cons that conclude about the troubles of these algorithms and futuristic processes on huge data.
Plant Leaf Diseases Prediction and Classification Using Optimization Based Convolution Neural Network
Authors: M Mohan , V Vijayaganth , M Naveenkumar
Published: January 2021

Plant leaf diseases and ruinous bugs are a significant test in the horticulture area. Quicker and an exact forecast of leaf diseases in plant could assist with building up an early treatment strategy while extensively decreasing financial misfortunes. Current progressed advancements in profound learning permitted analysts to amazingly improve the presentation and exactness of article identification and acknowledgment frameworks. A profound learning-based way to deal with recognize leaf illnesses in various plants utilizing pictures of plant leaves. The picture handling ventures for plant illness recognizable proof incorporate obtaining of pictures, pre-preparing, division and highlight extraction. Focus in predominantly on the most used order systems in illness location of plants, for example, Convolutional Neural Network, Support Vector Machine, KNearest Neighbor, and Artificial Neural Network. It has been seen from the examination that advancement Convolutional Neural Network approach gives better precision contrasted with the conventional methodologies. Optimization based CNN convolution neural network the proposed framework can viably recognized various sorts of diseases with the capacity to manage complex situations from a plant's region.
Impact of Covid-19 in Engineering Online Mode Educational System
Authors: R D Gomathi , S Maheswaran , S Radhika , S Sathesh , N Savitha sri
Published: January 2021

The outbreak of COVID-19 had a huge impact on the educational system as it leads to the closure of the educational institutions across globe. This had an impact on both economy and society apart from affecting the students and teachers. The situation became even more worser in the case of the disadvantaged students as it affected not only their education but also lead to problems such as improper nutrition, childcare and also economic problems as many lost their jobs due to the pandemic situation. In order to move on with the situation, UNESCO suggested the educational institutions to takeover virtual platforms as a replacement to the traditional classes in order to reduce the disruption of education. These virtual platforms became a critical lifeline for educational institution as it helps to reduce the transmission of disease. In this paper we could see the ways that the pandemic has transformed the education sector across the world which include Online learning, Unequal access to technology, and educational resources, a wide range of distance learning tools, new methods of assessment with learning management software, online appreciation for teachers and educators and the changing role of parents in education. But there was some gap between educators and learners.
Comparative Study of Classification Algorithms for Early Identification of Parkinson’s Disease Based on Baseline Speech Features
Authors: C Santhosh Kumar , Kaliappan Vishnu Kumar , Thangaraj Rajasekaran , P Pandiyan
Published: January 2021

- In recent years, there is need for early identification of Parkinson’s disease (PD) based on measuring the features that causes disorders in elderly people. Around 80% of Parkinson’s patients show signs of speech-based disorders in the early stages of the disorder. In this paper, early prediction of Parkinson’s disease based on machine learning is compared between different classification algorithms. The proposed comparative study composed of feature extraction, preprocessing, feature selection and three different classification processes. Baseline features and Iterative Feature selection methods were well thought-out for feature selection process. We compare the performance of classification algorithms used for early prediction of Parkinson’s patients with speech disorders. Naïve Bayes, Multilayer Perceptron, Random Forest and J48 Classification algorithms were used for the categorization of Parkinson's patients in the experimental study. Random Forest and Naïve Bayes classification shows better performance from other two classifiers. 94.1176 % accuracy was obtained from the PD dataset with the smaller number of speech features.
Importance of Communication Skills and the Needs of Engineering Students from Rural Areas
Authors: D Ramya , P Saranya Devi
Published: January 2021

Engineering study is considered as one of the major fields of study all over the world. Mostly the web content, the research works of various researchers and their studies, journals article, are written in the English language. So, it is considered to be essential for the second language learners especially for grabbing the opportunities of employment. The students who opt engineering needs to be good in the English language because it is very important for the academic life and it helps them to prosper in their professional life too. If the students fail to have good acquisition in the English language, they are unable to understand the important concepts and ideas conveyed by the writers in English. This present paper tries to highlight the significance of English and how lack of English knowledge can reduce the opportunity of employment. The researcher has given some solutions to overcome the issue.
Battery Storage Based Convict Tracking of Embedded Platform
Authors: C John De Britto , S Nagarajan , R Senthil Kumar
Published: January 2021

There are many law writers in the world, Jail is the spot wherever all the law breakers are put behind the poles There are many probabilities in secure unit that convicts can run away from lockup. There are many types of machinery obtainable in and around the world, none of the effects helps to cut the probabilities of avoidance from the lock up, so we formed a system to keep the convict from avoidance from jail because lockup safety is also the municipal safety in the world. We used RF (Radio F, Actuator frequency) method to guard the lockup. essentially, in a set of connections the space between a pair of nodes is projected from the Radio Frequency (RF). So, we used this scheme to real time monitor the distance between the convict and the control room and we can observe the convicts heart rate. Once convicts try to cross the limit of the jail it gives the awareness to the control room.
Smart Reader for Visually Challenged Using Optical Character Recognition and Text-To-Speech
Authors: R Sowmya , Jagtap Sushma S , Kasthuri Gnanamoorthy
Published: January 2021

Assistive technology uses assistive, adaptive and rehabilitative devices for people with disabilities. It’s assessed there are about 36 million people with visual impairment in the world and a further 216 million who lead life with moderate to severe visual impairments. Leveraging technology has helped the visually challenged in carrying out tasks on par with the people blessed with vision particularly in the activities of reading and writing. In the proposed work, an image scanning device attached to a microcontroller is designed. This device is designed in the form of hand gloves for ease of usage. The glove with the camera at the fingertip, when rolled over lines of text, scans the information and converts it into digital text with Optical Character Recognition (OCR). The converted digital text is finally read aloud using Text-to-speech synthesis. The results obtained were accurate and met the standards of operability.
Smart Water Management System At Home
Authors: K Vidhya , B Nagarajan , R Dhanasekaran , V C Aravinthaprasad , V Anbu
Published: January 2021

It is essential for water providers and the urban water supply industries have to understand how water is used in residential settings. The project Artificial Intelligence Based Smart Water Management System discusses the innovative Information and Communications Technology (ICT) approaches to practice the tapped water-saving habit in house. At the domestic level, this is attained by the expansion of a decision provision method to provide good awareness among the family members about their daily water consumption in a significant way and do assessment and promote water consumption reduction. The proposed AI system will control and monitor the flow of water from overhead tank to various utility areas like Kitchen, Bathroom, and Dress Wash and also for Garden in House. The water distribution is controlled by Smart Water Distributor which distributes the water at different locations of the house based on its need. Using Deep Belief Network technique of AI, the threshold level of each location is compared with the current flow level of the sensor. These flow control sensors will update the flow periodically to the intelligent monitor system. The intelligent monitor system will analyze the sensor data with the current water limit of each distribution as well as the data from the water level sensor of the underground tank. Similarly, the high-rate pressure sensor will periodically update the pressure over the pipe. Based on the variation ratio of water availability Vs Demand ratio and reduction in pressure level, the Intelligent Monitoring system will alarm the house holders about the shortage and leakage of water. By the way the proposed system will regulate the usage of water and avoids the wastage of water through leakage. This will also help the society and the government bodies to resolve the problem of water demand.
A Beacon-less Multi-channel Packet Forwarding Scheme in Vehicular Networks
Authors: S Srithar , N M Saravanakumar
Published: January 2021

The ad-hoc vehicular network is a sub stream of an ad-hoc mobile network where the nodes can converse and know each other by their periodic control packet dissemination. In vehicular network communication, the available bandwidth is limited. The parallel and multi-vehicle channel access will create an unwanted delay during the packet dissemination. The node may compete with each other to access the channel during parallel communication. The simultaneous channel access will increase network overload. The proposed approach will minimize the channel access collision through the variable time slots. Before any data dissemination, the node will send a Channel Booking Request (CBR) message to a correspondent node. The spectrum allocation is based on the type of vehicle and message_code. The concept has experimented with traditional routing protocols for overtaking assistance. The proposed approach is compared with the packet delivery rate, jitter, and packet loss rate.
Multi-rate Sampling Wavelet Lifting Scheme Based Video Compression with Enhanced Adaptive Rood Search Integral Projections
Authors: K Ramesh , V S Chandrika , P Praveena , C Pazhanimuthu , S Ravindran
Published: January 2021

This paper presents the research on video compression for videos by developing a multi rate wavelet lifting scheme method which works better for both colour and grayscale videos along with Enhanced Adaptive Rood Search with Integral Projections for motion Estimation. In wavelet lifting scheme sampling is performed at different rates at the upper and lower branches. It is a powerful alternative to traditional convolution involving forward and inverse filter banks with the total amount of arithmetic computations required is substantially lesser. The ratio used is 3:2 for the upper branch and 3:1 for lower branch of lifting scheme, more low frequency coefficients are preserved as compared to high frequency coefficients to have a better picture quality with a small compromise in compression ratio. The Listless speck has been used as the Encoder and an Enhanced Adaptive Rood Search technique has been developed for motion Estimation as it improved over the problem with Adaptive Rood Search which does not consider the diagonal direction. The proposed method has produced better compression results with quality and reduced latency than the existing ones as validated in the experimentation.
IoT Based Smart Irrigation System
Authors: D Sathish Kumar , P Gajendran , R Satheesh Kumar , B Lalitha
Published: January 2021

- Villages are the back bone of our country. Agriculture is the main source of income. In our country, agriculture provides 18% of our country’s Gross Domestic Product (GDP). Our Government repeatedly highlighting the importance of innovations in the agriculture field through various schemes. Since our agriculture is largely depends on the irrigation system rather than natural rain, as an engineer it is our responsibility to atomize it with necessary optimization techniques. Our proposed work inculcates data control management, IoT, optimization and so on. Irrigation through atomized algorithm reduces time, money & water usage. In this period, this kind of atomization in each and every field utilizes all the recent technologies to implement its ideas beautifully.
Liquefied Petroleum Gas Leakage Detection And Alert System Using Li-Fi Technology
Authors: A Mohammed Ovaiz , Katta Pradeep , R Senthil Kumar , S Venkatesan , V Richardson , Hariharan Hariharan
Published: January 2021

There is an ignorance prevailing among the people on home security these days. They intend it as just as surveillance technologies such as CCTV and other such security system. The security system besides keeping an eye as monitoring the vicinity, it should prevent the mishap. The major mishap that’s predominant is the fire accident caused due to leakage of LPG gas at home. There was ample number of cases investigated and published in the newspapers more often. The proposed system focuses on a system which precludes such mishaps that causes fatal burns and injuries to the lives in that particular vicinity. The system contains gas sensor, PIR sensor and temperature sensor which is used for monitoring and sensing the gas leakage in the kitchen or industry and reacts to it through the micro-controller which turns off the stove/valve by a DC motor that is interfaced with the knob. Also, for a preventive action, it activates the alarm and sends a display text in the other room through Li-Fi communication.
COVID-19, Short-selling Ban and Energy Stock Prices
Authors: Gurrib Ikhlaas , Kweh Qian Long , Contu Davide , Kamalov Firuz
Published: January 2021

We examine the short-selling ban imposed by the National Commission for Companies and the Stock Exchange of Italy, the authority that regulates the Italian securities market, on three Italian energy stocks. We find that the effect of the short-selling ban was temporary.