Volume 9 | Issue 6

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accidents, application

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ACCESS TO JUSTICE AND LOCUS STANDI

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In injection molding cycle, packing phase predominate part quality and responsible for defect free part. The packing pressure, melt temperature, mould temperature, plastic materials, and the configuration of the runner and the gate are all factors that influence the production of components in injection moulding during the packing process. It's very tough only by trial and error to identify them. For packing analysis, Moldex3D is a valuable tool for dealing with this issue. Packing phase comprises different parameters which contribute in packing formation and part quality. These parameter has been studied and analyzed in conventional and conformal cooling channels so the effect of conformal cooling channels on packing parameter can be optimized and analyzed where ever it is needed.

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Injection Molding, Packing Phase, Packing Analysis, Conventional Cooling Channels, Conformal Cooling Channels, Packing Parameter

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Two element mono-pole antenna, FR-4 substrate, micro strip feed, HFSS software.

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In the service sector, Airline Industry is the biggest transportation industry in worldwide. To achieve customer loyalty quality service plays avital role, so this industry needs to focus on unique service strategy to attract and retain its customers. Service quality and price both are the most influential factors of this industry.This investigation looks at the basic powers of service quality impacts on the airline travelers. In the study the researchers have tried to inspect which measurements affect service quality and which measurements have the most and least significant effect on service quality in worldwide air travel, via carrier travelers. The sample size of the study is 106. This investigation broke down the information from travelers of two classes, economy, and business. The outcomes propose that there are various components of in-flight service quality that are significant as indicated by the client and class. The dimensionality of service quality in universal air travel was investigated and three measurements were distinguished. These measurements remember for flight service, in-flight computerized administration and service and back-office activities. The discoveries uncover that these three measurements are emphatically identified with see administration and service quality in universal air travel and of these measurements, Cuisines gave, seat comfort wellbeing are the most significant measurement in-flight administration service quality. Individual amusement is the most significant measurement as seen via aircraft travelers In-flight advanced help quality. Online ticket booking is another measurement in back-office tasks. Moreover, the discoveries demonstrate that travelers" fulfillment on various aircraft organizations on premise of the services conveyed.

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Service quality, customer satisfaction, airline passengers, Aviation Industry

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The method of identifying the handwritten text using machine interface is known as handwritten character recognition. Handwritten characters present challenges because they differ from one writer to the other; even though the same author writes the same character, the form, size, and location of the character vary. Handwritten Character Recognition has been one of the challenging areas in the field of image processing. It has numerous applications which include, bank cheques and conversion of any handwritten document into digital text form. There is a prominent need for storing information to desktop storage from the information available in handwritten images to later reprocess this information utilizing computers. But to re-process this information, it would be very difficult to read the other information from these image files. Therefore, a technique to automatically resolve and store information, in particular text, from image files is needed. This paper aims to classify an individual handwritten word so that handwritten text for English alphabets can be translated to a typed or editable form. We used the Convolutional Neural Networks to accomplish this task. We used this architecture to train a model that can accurately predict words. Trends suggest that the market value for such applications is going to increase exponentially in the future.

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Convolutional Network Layer, Architecture of CNN, English Words, image files.

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Shipping Industry, Approaching, Customer Relationship Management, Communication, Liner Shipping.

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During?the?COVID-19?pandemic,?governments?have?tried?to?implement?a?variety?of?social?distancing?practices,?such?as?restricting?travels,?controlling?borders,?closing?pubs?and?bars,?and?alerting?the?society?to?maintain?a?distance?of?1.6?to?2?m?from?each?other.?However,?monitoring?the?amount?of?infection?spread?and?efficiency?of?the?constraints?is?not?an?easy?task.?People?require?to?go?out?for?essential?needs?such?as?food,?health?care?and?other?necessary?tasks?and?jobs.?Therefore,?many?other?technology-based?solutions?have?tried?to?step?in?to?help?the?health?and?medical?community?in?copping?with?COVID-19?challenges?and?successful?social?distancing?practices.?These?works?vary?from?GPS-based?patient?localization?and?tracking?to?segmentation,?and?crowd?monitoring.?In?this?research,?a?generic?Deep?Neural?Network?Based?model?for?automated?people?detection,?tracking,?and?inter-people?distances?estimation?in?the?crowd,?using?common?CCTV?security??cameras,?is?developed.?It?also?performs?a?live?and?dynamic?risk?assessment,?by?statistical?analysis?of?data?from?the?people?movements?at?the?scene.?This?will?enable?us?to?track?the?moving?trajectory?of?people?and?their?behaviors,?to?analyze?the?ratio?of?the?social?distancing?violations?to?the?total?number?of?people?in?the?scene,?and?to?detect?high-risk?zones?for?short-?and?long-term?periods.

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COVID-19,?OpenCV,?Social??distancing,?Deep?learning,?Computer?vision,?Risk?Assessment,?CCTV

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Abstract: Job opportunity, market orientation, gender, age, culture, Social status, teaching method and technique, are some factors influencing people to learn some specific language other than mother tongue. Sufficient studies have been conducted over English Language learning focusing aforesaid factors. Demeanor and motivation should also be taken into consideration while studying any language learning. The present study attempts to explore demeanor and motivational element in learning English language from secondary school students in block Padder of Kishtwar district. A sample of 180 students was Chosen through random sampling from the population. A modified version of Attitude/Motivation Battery Test (AMBT Likert scale) was used for eliciting information from sample respondents. T-test and percentage techniques were used for analysis data. The interpretation of data revealed that there is highly positive attitude & motivation towards learning English but significant difference was also found between the objectives of secondary course prescribed by JKBOSE to the objectives achieved by Padder Seconderians. The two main problems, first the faulty methods of teaching & second the over dated curriculum, can be associated for non-attainment of prescribed goal.

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Index Terms: AMBT, Demeanor, Motivation, Padder, Seconderians.

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In this paper, it is shown that statistics is one of the important tools in Data science. We have given Hierarchy in Data science, Types of analysis, How Statistics is used in Data science. Also, We have taken reference from the CRISP-DM technique. The basic terms one should know about statistics in this domain.

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Data science, Hierarchy, Use of statistics in Data science, Analysis, Bayesian , Findings.

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ABSTRACT Pea leaf weevil is also scientifically known as Sitona lineatus. The pest feeds on peas, beans and other plants of family Fabaceae. Adults are approximately 3-5mm in length with coloured scales series in striae on elytra. Fine pointed setae amongst the scales are present at the pronotum and head region. Antennae are preceded by seven segments and are generally clubbed and pointed in appearance. Tibia and tarsi are red coloured whereas the femur appears dark. They hibernate in winter. Breeding occurs in spring. Adults feed on leaf margins making it notch edged whereas larvae feed on root nodules. Yield loss is approx. 30-40%. Although chemical-pesticides protect the yield but they are harmful for the environment. So for the sake of environment, bio-pesticides should be used. The present study has the following extracts that may be used as bio-pesticide, i.e. Curcuma longa, Zingiber officinale and Barleria prionitis. At an interval of 5 days these extracts were used for 3 days for checking their efficacy against Sitona lineatus. When results were observed it showed that Barleria prionitis was most effective with highest mortality of about 85.74% and Zingiber officinale was least effective with only 60.45% of mortality. However Curcuma longa showed fewer efficacies than Barleria prionitis but was still more effective than Zingiber officinale with 72.38% of mortality. Damage % on Pisum sativum after application of 1st , 2nd , 3rd and 4th round of Curcuma longa was 3.02, 3.45, 3.57 and 3.60 whereas for Barleria prionitis it was 2.84, 2.99, 3.07 and 3.15 and as for Zingiber officinale it was 3.17, 3.40, 3.85 and 4.26. Percent infestation reduced when Barleria prionitis was used.

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Pisum sativum, Zingiber officinale, Curcuma longa, Barleria prionitis

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Facial expressions play an important role in conveying the emotional states of human beings. Classi?cation of human emotions remains an important and challenging task for many computer vision algorithms. Recently, deep learning approaches have been applied to emotion recognition field due to the discriminative power of Convolutional Neural Network (CNN). In this project, to predict the patient facial expressions automatically using HAAR Cascade and CNN Algorithm. If it is negative emotion, gives an alert message to the doctor. HAAR Cascade algorithm used to extract the facial points of humans. And Convolutional Neural Network (CNN) Algorithm used to predict the human emotions in which matching the feature vectors of trained model then label the emotions. After, classify the emotions if it is positive or negative emotions with improved accuracy.

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Facial expressions, human emotions, deep learning approaches, facial points, HAAR Cascade, Convolutional Neural Network (CNN).

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Every year many people lose their lives due to road accidents. The cause for road accidents may be many reasons and one of the common reasons is the drowsiness of a driver. Micro drowsiness or fatigue can be a major cause to a huge accident. Thus, initial detection of fatigue before a critical situation may occur, is the ongoing research of this paper. A real-time eye-blink and yawn detection algorithm is proposed in this paper. The recent landmark detectors are trained on various datasets, with varying light and facial expressions and tested against robustness and intelligence with respect to a camera. The first step is to detect the facial region and capture video sequences using computer vision techniques. In the next step, the facial landmark detectors are used for locating the eyes and mouth region of the driver which are studied using the eye aspect ratio(EAR), which is a single scalar quantity to detect the eye and mouth opening in each frame. We show that the facial landmarks are detected precisely to show the level of eye and mouth opening. Finally, in collaboration, the driver state that is, asleep or awake, is determined and a warning alarm is played if sleep is detected. These various experiments prove a high accuracy against the proposed idea.

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driver drowsiness; fatigue; face-detection; facial landmark; Eye Aspect Ratio (EAR); eye-blink; yawn.

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Aim of the study: To the study to Impact of Communication on Learning among High School Students. Hypotheses: 1. There will be no significant difference between Good Communication and Neutral Communication on dimension Learning. Methods: Sample: The sample for the research was selected from a private school in Parbhani District. Total 60 students were selected of 10 class. Among them 30 students selected for good communication teaching group and 30 students selected for neutral communication teaching group. The age range of subjects were 15 to 16 years (M = 15.31, SD = 2.54). Simple random probability sampling was used. Conclusion:- 1. Good communication teaching found significantly high learning than the neutral communication teaching.

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�Impact of Communication on Learning among High School Students�

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The pandemic caused by the deadly virus COVID-19, has rendered a significant proportion of the workforce to shift to the digital mode of working. Keeping in mind the social distancing norms, stringent lockdowns has become a policy priority for most governments. WFH, which was earlier imagined by the workforce of India, now has become the new normal. In doing so, the policies must be made keeping in mind the practicality for both employers and employees. However, this pandemic situation is giving proper insights regarding the flexibility and effectiveness of the WFH concept. The study uses an exploratory framework and a SWOT analysis, and investigates the experience of the employer and employees in India. A critical insight and useful suggestions have been recommended for future policy implications. It will also critically investigate if this digital workplace will remain as a transitory element, or it could be a permanent arrangement.

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Covid19, WFH, Digital Workplace

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Value plays a crucial role in the progress and development of human civilization. At present, inculcation of values is a useful tool for providing students with emotional and social protection in day to day human life and society also. From that point of view, the practice of values through the textbooks among students should also be taken into a consideration. At the present curriculum scenario, the practices of values have given more importance through textbooks. Through the vernacular textbooks, the cognitive domain (knowledge) is trained and enriched but there is a lot of scope to enrich the and affective (feelings), psychomotor (doing) domain in respect of values inherent in the textbooks. This study investigates how the reflected values are embedded in different educational domains among the various forms of content of Bengali Language and Literature textbooks presently taught at the primary level of public sector of West Bengal. Qualitative content analysis approach has been employed for the analysis of the selected textbooks of primary level. The findings of the study are that there are only twenty three (23) numbers of values have been reflected in fifty eight (58) times through the different educational objective of domains. The psychomotor domain (23 out of 58) has been more emphasized to teach and delivering the concept of the contents as well as values than cognitive (17 out of 58) and affective domains (18 out of 58). Therefore, the study suggests that teachers should practice the knowledge (cognitive domains) of the textbooks related to values through the psychomotor domain which can further expand the world of the child's consciousness (affective domains) as fruitful results for the nation.

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Values, Educational Domain, Vernacular Textbooks, Primary Education

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The sound generating system is unique in anurans and exhibits an immense morphological variation. The aim of proposed study of vocalization is to study biomechanics of this phenomenon and to trace adaptations of different sound production pattern by different species in anuran and to find out any evolutionary trend. The present study investigates the comparative study of ventral and vocal sac skin between Duttaphrynus stomaticus, Euphlyctis cyanophlyctis, Fejervarya limnocharis and Microhyla ornata were chosen. This Study is one of the first studies for the purpose of displaying the morphological and histological aspects of the vocal sac properties and their relationship to particular biomechanics of vocalization in anurans and also contributes in the field of amphibian reproductive biology.

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Biomechanics, vocalization, ventral Skin ,Vocal Sac skin , vocalization, calling behaviour

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Evaluation of some endophytes have been carried for their possible antimicrobial activity from various parts of medicinal plants belonging to Shreeyash Institute of Pharmaceutical Education and Research Botanical garden Aurangabad Maharashtra (India).A total of eight bacterial endophytes and nine fungal endophytes were isolated from the aerial and underground parts of selected medicinal plants. Isolated endophytic fungal species possess antifungal and antibacterial activity respectively. Endophytic microorganisms are recognize as a potential source of novel chemical molecules that might be useful in the treatment of various diseases. Bioactive compounds of endophytic fungi exhibit antimicrobial, antioxidant, anticancerous, antiviral and insecticidal properties. This research paper focused on the isolation, production, screening and separation of exploitable bioactive compounds from the plants Tulsi, Alovera, curry leaves, gulvel and turmeric leaves and stems. The obtain culture of endophytic fungi were tested for antimicrobial activity against commonly found both Gram-positive and Gram-negative microorganisms i.e. Staphylococcus aureus, Escherichia coli.. An inhibitory zone around the colony of endophytic fungi was evident of good antimicrobial activity of the fungi. From the isolated endophytic fungal species i.e. aspergillus oryzae extracted the enzyme amylase.

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endophytes, antimicrobial activity, antioxidant, anticancerous , antiviral, antibacterial, antifungal , aspergillus oryzae

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