bluuebunny/crossref_metadata_2025 huggingface dataset:
Efecto de la mecanización del suelo sobre sus propiedades físicas y la producción de papaya (Carica papaya L.)
Authors: Hernández Núñez Héctor Eduardo , Méndez Vargas Diego Fernando , Becerra Ordoñez Luis Carlos , Díaz Isaza Anthony José
Published: October 2019

zación del suelo sobre sus propiedades físicas y la producción de papaya en el centro de investigaciones amazónicas Macagual - Cesar Augusto Estrada González, Florencia, Caquetá. Se evaluaron los siguientes tratamientos: mecanización con moto azada (T1), azadón (T2) y sin mecanización (testigo (T3)). Se evaluaron las propiedades físicas al día siguiente de la aplicación de los tratamientos (tiempo 1) y 15 meses después (tiempo 2). En el tiempo 1 la resistencia a la penetración (Rp) presento diferencias significativas (p<= 0,05) entre los tres tratamientos en las profundidades de 0-10 y 10-20 cm, mientras que de 20-30 cm solo T1 presento diferencias significativas respecto a T2 y T3. No hubo diferencias significativas (p> 0,05) entre los tres tratamientos en el tiempo 2. Se correlacionaron las variables físicas con el coeficiente de variación de Pearson encontrando correlaciones significativas positivas entre Rp y Da de 0.62, HG y Pt de 0.84 y negativas entre Rp y Porosidad total (Pt) de -0.64, Rp y Humedad gravimétrica (HG) de -0.67, HG y Da de -0.84. Los rendimientos de papaya presentaron diferencias significativas (p<= 0,05) entre los tratamientos siendo T1 el que mayor producción con rendimientos de 13,04 ton/ha, seguido de T2 con 10,33 ton/ha y T3 con 8,54 ton/ha en la primer cosecha.
State control of circulation of medical devices. Typical violations detected by toxicity studies of medical devices
Authors: Мигеева Мария , Migeeva Mariya , Шарикадзе Денис , Sharikadze Denis , Новикова Маргарита , Novikova Margarita , Каргин Иван , Kargin Ivan
Published: October 2019

This article dedicated to the issues of state control over circulation of medical devices and typical violations detected by toxicity studies of medical devices. The article reviews the typical violations of mandatory requirements for various subjects of circulation of medical devices. The article specifically covers the reasons for decline of toxicological and sanitary chemical indicators when conducting toxicity studies of medical devices in the framework of state control.
Analysis of the executive discipline of medical and pharmaceutical experts compliance with the law in the field of trafficking in narcotic drugs and psychotropic substances
Authors: Давыдова Ольга , Davydova Ol'ga , Царахова Лариса , Carahova Larisa , Левкова Ирина , Levkova Irina
Published: October 2019

The activity of trafficking in narcotic drugs, psychotropic substances is inextricably linked with medical and pharmaceutical activities.Analysis of the executive discipline by medical and pharmaceutical specialists in compliance with the law in the field of trafficking in narcotic drugs and psychotropic substances revealed the most problematic aspects of the activity and the need to revise certain aspects of regulatory and legal activities, based on the modern requirements of practical medicine and pharmacy.
CONCORDANCE OF THE COLLISION OF NORMATIVE REQUIREMENTS FOR TRADEMARK COST DETERMINATION
Authors: Pozdnyakov Yuriy , Lapishko Maria
Published: October 2019

Introduction. Some requirements for determining the value of a trademark of regulatory accounting and independent valuation bases are substantially controversial. This fact creates a normative and legal collision between them. This leads to the high relevance of the problem of coordination of these requirements.
Purpose. The article aims to investigate the influence of the revealed contradictions of regulatory accounting requirements and independent evaluation of the determination of a trademark value on the validity of the choice of valuation methodological approaches and procedures; search and justify the possible ways to overcome the identified collision; determine the value of the trademark of normative and legal accounting; offer solutions that make it possible to avoid uncertainties caused by the presence of contradictions established in the study; substantiate the choice of appropriate valuation of methodological approaches and specification of the peculiarities of performance of valuation procedures.
Method (methodology). The general methodological basis of the study is to conduct a comparative analysis of the individual provisions of the normative accounting and independent valuation with the subsequent discovery of the existing contradictions and the synthesis of useful practical conclusions about the possibilities of contradictions coordination.
Results. The list of costs that can be taken in to account when applying the cost approach to the value of a trademark has been analysed and specified. It has been revealed that these types of expenses from the point of view of the current legislative and normative and legal frame work of accounting are not considered as intangible assets. However, the fact of their implementation increases the value of trademarks that relate to intangible assets in terms of both regulatory bases under the investigation. It has been proposed to take into account expenses that indirectly relate to the trademark in its value only in part, using a lowering factor that is less than one. The appropriateness of the use of cost (property) methodological approach in assessing the market value of trademarks has been reasoned and theoretically grounded. It has been done as we can observe the normative and legal collision between the normative bases under investigation while applying methodical approaches.
ANALYSIS OF ACTIVITIES OF NON-PROFIT ORGANIZATIONS: METHODOLOGICAL ASPECT
Authors: Khmelyuk Alona , Lomonos Olena , Fabrychenko Tetiana
Published: October 2019

Introduction. The peculiarities of the functioning of non-profit organizations in Ukraine are identified. The accounting and information support of the analysis of the activity of public sector entities is considered. It is established that the reformation of accounting of public sector entities related to the introduction of the NP (C) BODS from January 1, 2017 requires a comprehensive analysis of the activities of budgetary institutions. It is noted that the analysis of the activity of a budgetary institution will provide full information about the real economic situation of the organization, reveal unused agricultural reserves for further development and ensure more efficient use of targeted state allocations. The object of research is the Main Department of Statistics in the Dnipropetrovsk region. The priori analysis of dynamic changes in cash inflows by type of income is carried out. It is proven that the use of only absolute indicators to estimate the dynamics of revenues is inappropriate. It is noted that the increase in the dynamics of cash inflows to a budgetary institution can testify only to the impact of inflationary processes. It is proposed to analyse the results of the organization's activities in a phased manner: analysis of dynamics and structure; analysis of the actual expenditures of the organization; assessment of the financial performance and determination of the size of the deficit or cash surplus. The algorithm of the complex analysis of the receipts of funds, incomes and expenditures of the budgetary institution is developed. It is established that the analysis of incomes and expenditures and financial results of a budget institution's activity is a necessary component of effective management of a public sector entity.
Purpose. The article aims to evaluate the accounting and information support of the analysis of the activities of the public sector entities and to develop the stages of the analysis of the activity of the budget institution of the Main Department of Statistics in the Dnipropetrovsk region.
Method (methodology). Method of system analysis, methods of causal analysis, table and graphical methods, dynamic series have been used in this research.
Results. The theoretical synthesis and practical recommendations on the methodological aspects of the activities of non-profit organizations through the analysis of dynamics and the structure of cash flow; actual expenses of the organization; assessment of financial performance and determination of the size of the deficit or cash surplus have become the result of the research.
ASSESSMENT OF THE DIAGNOSTIC VALUE OF THE METHOD OF COMPUTER OLFACTOMETRY
Authors: Avrunin Oleg , Nosova Yana , Zlepko Sergii , Younouss Abdelhamid Ibrahim , Shushliapina Nataliia
Published: October 2019

Olfactory studies can be a criterion for evaluating rhinosurgical intervention, and olfactory impairment may indicate respiratory impairment. Therefore, the urgent task is to develop an integrated approach to determining respiratory and olfactory disorders. A structural scheme was developed for the method of objective diagnosis of respiratory and olfactory disorders, taking into account the measu, rement of both the aerodynamic parameters of nasal breathing and the calculation of energy characteristics, which are used to determine olfactory sensitivity. The diagnostic significance of the proposed method of analyzing rhinofolipometry data with regard to additional parameters was assessed - it is necessary to take into account the time and power of breathing when the threshold of sensation of the odorivector is at the transition point of the airflow mode to the turbulent quadratic. It has been established that it is advisable to use the energy criteria of nasal breathing, pneumatic power and energy of nasal breathing under the action of the corresponding odor vector for the assessment of respiratory impaired olfactory. To assess the respiratory impairment of olfactory, it is necessary to use the method in which an odor vector is installed in the air path of the rhinomanometer, and the patient is asked to perform breathing maneuvers with a consistent increase in respiration rate while fixing the time at which olfactory sensitivity is achieved and then determining the respiratory energy characteristics. A statistical processing of diagnostic results was carried out, which confirms the adequacy of the model of independent statistical verification and makes it possible to use this method for the functional diagnosis of respiratory-olfactory disorders and testing of respiratory-olfactory sensitivity. The probability index of the error of the second kind is 0.17.
DIFFERENTIAL DIAGNOSTICS OF ASEPTIC AND SEPTIC LOOSENING OF THE CUP OF THE ENDOPROSTHESIS OF THE ARTIFICIAL HIP JOINT BY THE METHODS OF POLARISATION TOMOGRAPHY
Authors: Ushenko Alexander G. , Olar Olexander
Published: October 2019

Manuscript contains structural-logical scheme and analytical description of the differential diagnosis of aseptic and septic loosening of the artificial hip joint endoprosthesis using the methods of differential Mueller-matrix mapping of circular birefringence (CB) distributions of polycrystalline synovial films (SF) and results of determining the sensitivity, specificity and accuracy of the wavelet analysis method of differential Mueller-matrix mapping of the distributions of the CB values of polycrystalline films SF patients from the control group and groups with different severity of the hip joint pathology.
SYNTHESIS OF A TRACKING CONTROL SYSTEM OVER THE FLOTATION PROCESS BASED ON LQR-ALGORITHM
Authors: Koshimbaey Shamil , Lukmanova Zhanar , Smolarz Andrzej , Auyelbek Shynggyskhan
Published: October 2019

The studies are devoted to the synthesis of the tracking control system of the flotation process based on the LQR-algorithm. The algorithm of finding the parameters of the optimal regulator is given. The results of modelling of the system with the regulator are obtained, and also the comparative analysis of the results of modelling of the system with and without the regulator is shown, which is performed with the help of Matlab software package and the Simulink toolkit.
MODEL OF ENGINEERING EDUCATION WITH THE USE OF THE COMPETENCE-PROJECT APPROACH, ONTOLOGICAL ENGINEERING AND SMART CONTRACTS OF KNOWLEDGE COMPONENTS
Authors: Kubekov Bulat , Bobrov Leonid , Utegenova Anar , Naumenko Vitaly , Alenova Raigul
Published: October 2019

The article presents the results of research related to the use of ontological and design competence approaches for the development of knowledge components and their subsequent use for designing individual trajectories of engineering education. The methodology of engineering education is considered, which, together with the initiative CDIO, the project-competence model and the knowledge display in the form of ontology, can be used as the main tool for modelling the propositional presentation of thought. Within the framework of the ontological approach, a knowledge specification language has been developed, which allows modelling the ontologies of supporting concepts of the semantic context of educational resources and specifying them in the form of knowledge expressions. The introduced formalisms and rules of the language of knowledge specification give the expressions of knowledge the properties of adaptability, extensibility, easement of processing and maintenance, which is important in designing engineering education level programs. This technique was tested on the material of the famous monograph by Hassan Goma “UML. Designing real-time systems, parallel and distributed applications" for the project "Banking system of client-server type" and is used on classes. Expressions of knowledge, together with their interfaces, are knowledge components from which individual learning trajectories are constructed.
COMPARISON OF THE INFLUENCE OF STANDARDIZATION AND NORMALIZATION OF DATA ON THE EFFECTIVENESS OF SPONGY TISSUE TEXTURE CLASSIFICATION
Authors: Dzierżak Róża
Published: October 2019

The aim of this article was to compare the influence of the data pre-processing methods – normalization and standardization – on the results of the classification of spongy tissue images. Four hundred CT images of the spine (L1 vertebra) were used for the analysis. The images were obtained from fifty healthy patients and fifty patients with diagnosed with osteoporosis. The samples of tissue (50×50 pixels) were subjected to a texture analysis to obtain descriptors of features based on a histogram of grey levels, gradient, run length matrix, co-occurrence matrix, autoregressive model and wavelet transform. The obtained results were set in the importance ranking (from the most important to the least important), and the first fifty features were used for further experiments. These data were normalized and standardized and then classified using five different methods: naive Bayes classifier, support vector machine, multilayer perceptrons, random forest and classification via regression. The best results were obtained for standardized data and classified by using multilayer perceptrons. This algorithm allowed for obtaining high accuracy of classification at the level of 94.25%.
Strengthening of the Surface Properties of Al-4.5%Cu/BLA Composites by Laser Applications
Authors:   Department Of Mechanical Engineering, Karunya Institute Of Technology And Science, Coimbatore, Tamilnadu, Rao* Gadudasu Babu , Balasubramanian K ,   Department Of Mechanical Engineering, Karunya Institute Of Technology And Science, Coimbatore, Tamilnadu, Sahu Mona ,   Department Of Mechanical Engineering, Karunya Institute Of Technology And Science, Coimbatore, Tamilnadu, Bannaravuri Praveen Kumar ,   Department Of Mechanical Engineering, Karunya Institute Of Technology And Science, Coimbatore, Tamilnadu, Birru Anil Kumar ,   Department Of Mechanical Engineering, National Institute Of Technology Manipur, Imphal
Published: October 2019

Aluminium composites were used widely due to merits like high strength to weight ratio, electrical and thermal conductivity. In this paper, the influence of the Laser Surface Melting on exterior surface of Al-4.5% Cu alloy metal matrix composite reinforced with 2 and 4 wt.% of Bamboo Leaf Ash particles produced by stir casting. The composite’s surface was melted using a laser machine. The microstructure and the hardness of as-cast and laser melted surface of composites were studied. The results of the composites have been compared before and after laser treatment. The grain size on surface of composites was reduced after laser treatment and also observed that porosity was minimized. The hardness of surface composites was enhanced desirably after laser treatment. Thus, re-melting the surface by laser can be suitably useful to strengthen the surface properties of the Aluminium composites.
Corporate Financial Transgression and Effects of Changes in Regulatory System in India
Authors:   Research Scholar, Mittal School of Business, Lovely Professional University, Phagwara, Punjab, India., Aggarwal* Manav , Dhiman Dr. Babli ,   Associate Professor, Mittal School of Business, Lovely Professional University, Phagwara, Punjab, India.
Published: October 2019

Financial Transgression is a problem which has surrounded the Corporate World. Violation of regulatory provisions and gaps in financial reporting practices have led to occurrence of frauds. Developing as well as Developed Nations, both are victims of this problem. This paper is an attempt to find the various reasons of financial transgression in India and evaluation of subsequent changes made thereafter by regulatory bodies in the statutes so that no such cases occur in future. Secondary sources of information were used to cover the cases of financial transgression in India for the period 1991 i.e. beginning of LPG regime till 2018 for the purpose of the paper which leads to changes in regulatory framework and reporting practices. The timeline of the cases in India is strategically hinting towards the weak regulatory system of India along with late changes made in the relevant regulatory framework. Whenever a new case of financial transgression has been reported, it reflected the loopholes in the system. So it is high time for India to learn a hard lesson for the growth of the economy.
Assessment of Aboveground Biomass and Temperature in the Tropical Rainforest of Malaysia
Authors:   Department of Mechanical Engineering Technology, Faculty of Mechanical and Manufacturing Engineering Technology, Universiti Teknikal Malaysia Melaka, Malaysia., Azmi* Ezzatul Farhain , Hussin Nor Hafizah ,   Department of Electrical Engineering Technology, Faculty of Electrical and Electronic Engineering Technology, Universiti Teknikal Malaysia Melaka, Malaysia., Syed Ahmad Sharifah Sakinah ,   Department of Intelligent Computing and Analytics, Faculty of Information & Communication Technology, Universiti Teknologi Malaysia, Malaysia., Mohd Said Rahaini ,   Department of Electronic Engineering Technology, Faculty of Electrical and Electronic Engineering Technology, Universiti Teknikal Malaysia Melaka, Malaysia., Samsudin Adam ,   Department of Electrical Engineering Technology, Faculty of Electrical and Electronic Engineering Technology, Universiti Teknikal Malaysia Melaka, Malaysia.
Published: October 2019

The relation between tropical rainforest to the climate variability is very important. This research aims to determine the relationship between aboveground biomass which prefer tree in the tropical rainforest and surrounding temperature. Diameter at breast height (DBH) of ten tree species and surrounding temperature collected data were taken to measure the correlation between the two variables by using statistical test. Furthermore, forest biomass estimation is also important towards the assessment of the productivity, structure and forest condition. The analysis in this research shows that simple linear regression model can be used to predict the future value of DBH for each species. The findings may help the reduction of greenhouse gas emissions with proper conservation and sustainable management.
Perinatal Hypoxia Diagnostic System by using Scalable Machine Learning Algorithms
Authors:   CSE, CT Institute of Engineering Management and Technology, Jalandhar, India., Kaur* Harmandeep , Khullar Vikas ,   CSE, CT Institute of Engineering Management and Technology, Jalandhar, India., Singh Harjit Pal ,   ECE, CT Institute of Engineering Management and Technology, Jalandhar, India., Bala Manju ,   CSE, Khalsa College of Engineering and Technology, Amritsar, India.
Published: October 2019

Collaborating big data and machine learning approaches in healthcare can help in improving clinical decision making and treatment by identifying and accumulating accurate features. Prenatal hypoxia can also be identified by cardiotocography (CTG) monitoring that helps in identifying the condition of the fetus. Imposing the data over distributed approaches can help in fast computation to rate the fetal and mother wellbeing before delivery. Our research aims to propose and implement a scalable Machine learning Algorithm based perinatal Hypoxia diagnostic system for larger datasets. This system was implemented on the CTG dataset using python and pyspark models like SVM, Random Forest, and Logistic regression. In the proposed method experiment results contributing to spark RF are more accurate than other techniques and achieved the precision of 0.97, recall of 0.99, f-1 score of 0. 98, AUC of 0.97 and gained 97% accuracy.
Moth-Dolphin Optimization Algorithm: A Nature Inspired Technique
Authors:   Research Scholar, Department of Computer Science & Engineering, PTU University, Jalandhar, Punjab, India., Kumar* Amit , Singla Sanjay ,   Department of Computer Science & Engineering Guru Gobind Singh College of Modern Technology, Kharar, Mohali, Punjab, India., Sharma Meenakshi ,   Department of Computer Science & Engineering, Chandigarh University, Kharar, Mohali, Punjab, India., Kundu Shakti ,   Faculty of Engineering & Computing Sciences, Teerthanker Mahaveer University, Moradabad, Uttar Pradesh, India.
Published: October 2019

This paper proposes a moth-dolphin based nature inspired optimization algorithm. This algorithm embeds the communication behavior of dolphin to Moth. The Moth route towards moon through the moon light in an optimized manner. But each moth doesn’t follow optimized path to travel towards the moon. The communication among the moth enables them to follow the best path towards moon. Thus, moth-dolphin algorithm uses the communication between moths to enhance the performance. The Moth–dolphin is an optimization algorithm which uses the exploration as well as exploitation search to achieve the global optima. The performance comparison of proposed algorithm with the moth-flame optimization algorithm, modified particle swarm optimization algorithm, differential evaluation and non-dominated sorting genetic algorithm over unimodal as well as multimodal functions ensures better results.
Automatic Evaluation of Analog Circuits using e-Sim EDA Tool
Authors:   Asst. Prof., FCAIT, GLS University, Ahmedabad, INDIA., Dang* Poonam J. , Arolkar Dr. Harshal A. ,   Professor & HOD, GLS University, Ahmedabad, INDIA.
Published: October 2019

E-learning and online exams have become norm of the day. E-learning and evaluation of what user has learnt through it, now spans all the disciplines of learning like science, arts, commerce, business, engineering and computer science. Online exams are used as tool for assessing large number of students at a faster pace. Automatic evaluation of concepts is one of the major part of online exams. In this paper the researchers have proposed an online examination system for creating and evaluating analog circuits. The researchers have taken into account electronic circuits that generates analog output and have evaluated and graded these circuits automatically based on its logical and functional aspects. The proposed system will save time and efforts put by faculty in evaluation of large number of students.
Novel Camera Security Alert IOT System
Authors:   B.E., Department of Electrical Engineering, Chandigarh University,Punjab, India., Kumar Pardeep , Raj Rishabh ,   B.E., Department of Electrical Engineering, Chandigarh University,Punjab, India., Vishwakarma* Satyanand ,   Assistant Professor, Department of Electrical Engineering, Chandigarh University, Punjab, India.
Published: October 2019

Today, technology is developing for automation system IOT based automation use in our day by day life increase with a great pace, because help of automation most of the work is so much easy without need man power, today day by day industrial or houses move on IOT system for protection, Security, automation every one take interest on this field its very help full for everyone and this paper is made for helping everyone who is willing to know about how to utilize a smart automatic Protection system, Designed and realized in the project, using Camera Alert for industry and home areas if some one touch door help of this project on the spot Alert click automatic photo send to android device.
Environmental Sanitation Handling Strategy in Slum Area in Palu City, Indonesia
Authors:   Postgraduate Doctoral Program Students Universitas Negeri Makassar & Department of Biology, Tadulako University, Indonesia., Miswan*  , Dirawan Gufran, D ,   Department of Civil Engineering, Universitas Negeri Makassar, Indonesia, Rauf Bakhrani A. ,   Department of Civil Engineering, Universitas Negeri Makassar, Indonesia, Lahming  ,   Department of Agricultural Technology Education, Universitas Negeri Makassar, Indonesia, Budiman  ,   Faculty of Public Health Universitas Muhammadiyah Palu, Indonesia, Hamida  ,   Faculty of Public Health Universitas Muhammadiyah Palu, Indonesia, Yani Ahmad ,   Faculty of Public Health Universitas Muhammadiyah Palu, Indonesia
Published: October 2019

The problem of environmental sanitation is one of the 17 objectives of the Sustainable Development Goals (SDGs). The handling of environmental sanitation by the government so far has faced many obstacles. Likewise, with the Province of Central Sulawesi, only ranked 26th with regard to access to sustainable sanitation in Indonesia. Based on this, the problem formulation is: How is the description of environmental knowledge, environmental sanitation knowledge, income levels, attitudes, behavior and how is the influence of environmental knowledge on behavior, the effect of environmental sanitation knowledge on community behavior and the influence of income level on attitudes, and the Sanitation Handling Strategy Slum Areas? This type of research is a quantitative method survey research. With the aim of testing the hypothesis. The population is the whole family head of 22,130 families. Determination of the sample is done by the Proposional Stratified Sampling method. The results obtained, namely: Environmental knowledge influences the attitude in managing the environment by 0.68 with a probability value (P) 0.00001. Environmental knowledge has no effect on people's behavior in handling environmental sanitation by 0.221 with a probability value (P) 0.055. Knowledge of environmental sanitation affects the attitude in managing the environment by 0.349 with a probability value (P) 0.021. Knowledge of environmental sanitation has no effect on people's behavior in handling environmental sanitation by 0.261 with a probability value (P) 0.00001. Income level influences the attitude in managing the environment by -0.112 with a probability value (P) 0.087. The level of income affects the behavior of the community in handling environmental sanitation by -0.161 with a probability value (P) 0.003. The attitude in managing the environment influences community behavior in handling environmental sanitation by 0.548 with a probability value (P) 0.00001. It is expected that the government, community leaders, religious leaders, and all stakeholders are involved in handling environmental sanitation.
Collective Scheme of Transmission of Video Packet to Develop Cross Layer to Support QOS for Manet
Authors:   Research Scholar, Department of Computer Science and Engineering, PRIST Deemed to be University, Thanjavur, Tamil Nadu, India., Asha*  , G Mahadevan. ,   Principal, Annai College of Engineering, Kumbakonam, Tamil Nadu, India.
Published: October 2019

MANETs have become very predominant when it comes to wireless communications. Multimedia streaming is rapidly increasing over all social networks. In this part of multimedia communication, Mobile – Ad – Hoc network (MANET) has established its importance to deliver enhanced Quality of Service (QoS). However, it can be stated that when it comes to multimedia applications, MANETs still need some improvisation especially when it comes to video transmissions. There still exists few difficulties when it comes to MANETs that are such as limited physical security and resources, less detection of malicious nodes, lack of authorization facilities etc. To avoid all these and to improvise the network use of a new design approach known as cross-layer approach is being used extensively by various researchers.. The cross layer approach is used to efficiently make use of all the network resources in a communication channel and provide the best adaptability. In this paper, we have proposed a model that will avoid packet loss and will rebuild the video packets at the receiver end thereby improving the overall performance of the network.
Frameworks for Animal and Human Detection using Camera Images to Detect Anomaly
Authors:   Master degree in Engineering, Anna University, Chennai, India., P* Deepak , Krishnakumar S. ,   M.Sc., Department of Physics with Electronics specialization, Mahatma Gandhi University, Kottayam, Kerala, India.
Published: October 2019

Human and animal interacting events in video image frames will leads to anomalies and it cannot be predicted. These anomalous events was happened due to the interactions of human, animals and birds with each other. Some of the human and animal anamolous interactions will leads to anomalous actions in camera surveillance sites and are to be considered as a serious issue. All anomalies will leads the system or the authorities who dedicated for monitoring to the suspicious events. To detect the anomalies, the animals and human objects must be identified in each image frames first. After object identification events detection phase has to be done. Before going to the event detection phase, noise elimination, shadow detection, object classification can be carried out according to the needs. This paper reveals general detection methodology for animal detection and human crowd. The proposed work mainly concentrated on the detection of animals in human territory based on its palm print images and video images. Human crowd can be treated as smoke- screen for all types of anomalies and so this paper mainly concentrated to detect the crowd well in advance and thereby preventing the crowd before it is happening.
Design of a Hidden Marko model for Diagnosis and Management of Pregnancy loss (PL)
Authors:   Mathematics Division, School of Advanced Sciences, Vellore Institute of Technology. Chennai, India., K.M* Mancy. , C Vijayalakshmi. ,   Mathematics Division, School of Advanced Sciences, Vellore Institute of Technology. Chennai, India.
Published: October 2019

This paper mainly deals with the design of Hidden Markov model for Reproductive outcomes. There are several controversial topics in the diagnosis and management of Pregnancy Loss (PL).This paper leads to the analysis of risk factors involved during pregnancy. Unicornuate female internal reproductive organ , a unilateral maldevelopment of Mullerian duct is the resulting of uterine malformation which is more prevalent in women with infertility .Based on this condition , the indication of the associated procreative consequences are derived from samll assorted studies that report different clinical endpoints and infrequently in the variations of unicornuate female internal reproductive organ. The embryological and clinical of unicornuate uterus are dealt effects in an algorithmic way.
Modification of Engineering Properties of Clayey Soil by Addition of Mine Waste
Authors:   Research Scholar, Department of Civil Engineering, BMS College of Engineering. Bengaluru, Karnataka, 560019,India., Kanalli* S.A. , Naagesh Sureka ,   Professor, Department of Civil Engineering, BMS College of Engineering, Bengaluru, Karnataka, 560019,India., K Ganesh ,   Professor, Department of Civil Engineering, BMS College of Engineering, Bengaluru, Karnataka,560019, India.
Published: October 2019

The potential of using iron ore mine waste with an highly compressible clayey soil soil from North Karnataka, India, is investigated in this study. Mining activities lead to the production of waste materials during their extraction and processing stages. The waste maybe in the form of an overburden, waste Rock, Mine Water, or Tailings, depending on the geology, type of processing technology used and the resources mined. The lack of storage space has also been a major concern for the mineral producing agencies, thus paving ways for its better utilization in various construction processes. The collected mine waste was added to expansive soil in different percentages and the mix was tested for Atterberg limits, compaction characteristics, Unconfined compressive strength and California bearing Ratio. It was found that the liquid limit and plasticity index of the soil reduced with addition of mine waste while strength improved. Based on test results of maximum dry density and unconfined compressive strength, a mix of 40% mine waste with 60% expansive clayey soil is recommended for low cost roads. Blending mine waste with expansive soil paves way for sustainable construction besides economic benefits
Diagnostic Gene Biomarker Selection for Alzheimer’s Classification using Machine Learning
Authors:   School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, India, Sekaran* Karthik , Sudha Dr. M. ,   Associate Professor, School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, India
Published: October 2019

Alzheimer’s disease (AD), also referred to as Alzheimer’s is a neurodegenerative disease and most common type of dementia. It starts at an older age and slowly progressive over time. It is a brain disease which causes loss of memory, reasoning and thinking capability of a person. Short-term memory loss is one of the main symptoms of the AD. Other common symptoms are said to be mood-swings, difficulty in understanding language and its interpretation etc. The major problem in the AD is, it can’t be reverted, but controllable with proper treatment. Genetic factors have a high impact on developing an AD, which can be inherited through genes. According to recent studies, gene therapy shows better results for Alzheimer’s patients than other common medications. It reduces the risk effect of the AD and has a gradual improvement on the patient’s condition. So, identification of gene biomarkers, having high involvement in developing AD could improve positive response over the treatment. In this paper, gene expressions of AD patients and normal peoples are analyzed using statistical approaches and Machine Learning (ML) algorithms. Differential Gene Expression (DEG) identification has an important part in the selection of most informative genes. Potential gene biomarkers are selected using a meta-heuristic global optimization algorithm called Rhinoceros Search Algorithm (RSA). As an outcome from RSA, 24 novel gene biomarkers are identified. Four supervised ML algorithms such as Support Vector Machines (SVM), Random Forest (RF), Naïve Bayes (NB) and Multilayered Perceptron Neural Network (MLP-NN) are used for the classification of two different group of samples. Among them, RSA-MLP-NN model achieved 100% accuracy on identifying the distinction between AD and normal genes and proved its efficacy.
Identity-Based Encryption Algorithm using Hybrid Encryption and MAC Address for Key Generation
Authors:   Associate Professor, Department of Computer Science Engineering Chandigarh University, Chandigarh, India., Anand* Darpan , Pande Jeetendra ,   Assistant Professor, Department of Computer Science, Uttarakhand Open University, Haldwani-263139, India., Maheshwari Udit ,   Hindustan Institute of Technology and Management, India.
Published: October 2019

In today’s world, secured communication is what every field wants. But due to the escalation of theft and unauthorized access to the data, the need for new encryption algorithms has also gone high. This paper proposed a hybrid encryption scheme which uses ElGamal key exchange algorithm and Genetic algorithms. In this scheme, the users share seventeen 16-bit keys, random in nature, using the ElGamal algorithm, which is used to calculate a shared key. Along with this shared key and MAC(Medium Access Control) addresses of both sender and receiver(MAC is used as it is a unique identifier attached to a network adapter or system), a final key is generated through a 10-round algorithm. Further, this final key is used for data encryption using Genetic algorithms. A new key is generated for each communication session between sender and receiver. The proposed technique shows that it is resistant to most of today’s known and common attacks.
Stock Price Prediction using Linear Regression in Machine Learning
Authors:   UG Scholar, Assistant Professor, Department of Electronic Communication and Engineering, Saveetha School Of Engineering, Saveetha Institute Of Medical and Technical Sciences, Chennai, Tamil Nadu, India., Gupta* Amit , Nagalakshmi Ms.T.J. ,   UG Scholar, Assistant Professor, Department of Electronic Communication and Engineering, Saveetha School Of Engineering, Saveetha Institute Of Medical and Technical Sciences, Chennai, Tamil Nadu, India
Published: October 2019

Forecast of financial exchange has been an alluring subject to the stock representatives and the specialists from different fields. Stock value forecast is dependably a dominating objective for each speculator which encourages them to realizing the future costs thinking about the past records. There have been various examinations to foresee the cost of the loads of a specific organization utilizing AI method. In this paper we would utilize straight relapse to foresee the stock cost of the organization.
A Smart Helmet for Air Quality and Hazardous Event Detection for the Mining Industry
Authors:   Assistant professor, Department of Electronics and Telecommunication Engineering, Department of Electronics and Communication Engineering, Karpagam College of Engineering, Coimbatore, Tamilnadu, India., S* Manikandan , Francis G Arun ,   Assistant professor, Department of Electronics and Telecommunication Engineering, Department of Electronics and Communication Engineering, Karpagam College of Engineering, Coimbatore, Tamilnadu, India, V Mithya ,   Assistant professor, Department of Electronics and Telecommunication Engineering, Department of Electronics and Communication Engineering, Karpagam College of Engineering, Coimbatore, Tamilnadu, India., C Kamal ,   Student, Department of Electronics and Telecommunication Engineering, Department of Electronics and Communication Engineering, Karpagam College of Engineering, Coimbatore, Tamilnadu, India., Kumar S Dhilip ,   Student, Department of Electronics and Telecommunication Engineering, Department of Electronics and Communication Engineering, Karpagam College of Engineering, Coimbatore, Tamilnadu, India., R Harriprasath ,   Student, Department of Electronics and Telecommunication Engineering, Department of Electronics and Communication Engineering, Karpagam College of Engineering, Coimbatore, Tamilnadu, India., P Sankar ,   Student, Department of Electronics and Telecommunication Engineering, Department of Electronics and Communication Engineering, Karpagam College of Engineering, Coimbatore, Tamilnadu, India.
Published: October 2019

Smart helmet is developed to detect the hazardous event in mining industry. The main three hazardous event that considered while developing the smart helmet are Air quality, Temperature, Helmet removal. In this CO, SO2, NO2, are considered as dangerous gas and the concentration level and particulate matter this is considered as first hazardous event, the air quality is checked using air quality sensor. Then the miner removing the helmet from their head is considered as second hazardous event. IR sensor is developed to check whether the miner is wearing helmet or not. The miners cannot work at high temperature so this considered as third hazardous event and temperature is measured using temperature sensor.
Hubungan Asupan Nutrisi Dengan Penyembuhan Luka Post Operatif Pada Anak Di Rsud. Dr. H. Abdul Moeloek Provinsi Lampung Tahun 2017
Authors: Novikasari Linawati , Sanjaya Hadi , . Setiawati
Published: October 2019

Tindakan Bedah Menempati Ururan Ke-11 Dari 50 Pertama Penanganan Pola Penyakit Di Rumah Sakit Se Indonesia. Prevalensi Gangguan Nutrisi Di Indonesia Pada Pasien Rawat Inap Pada Hari Pertama Adalah 16%. Pada Hari Perawatan Ke-7 Persentase Pasien Yang Mengalami Gizi Kurang Dan Buruk Naik Menjadi 20%. Tujuan Dari Penelitian Ini Adalah Diketahui Hubungan Asupan Nutrisi  Dengan Penyembuhan Luka Post Operatif Pada Anak Di Rsud. Dr. H. Abdul Moeloek Provinsi Lampung Tahun 2017. Jenis Penelitian Kuantitatif, Rancangan Analitik Dengan Pendekatan Cross Sectional, Sampel Sebanyak 34 Orang Dengan Teknik Total Sampling. Pengambilan Data Menggunakan Kuesioner Dan Menggunakan Uji Statistik Chi Square. Hasil Penelitian  Diketahui Bahwa Asupan Nutrisi  Pada Anak Post Operatif Dengan Kategori Kurang Baik Sebanyak 11 Responden (32,4%). Penyembuhan Luka Post Operatif Pada Anak Dengan Kategori Kurang Baik Sebanyak 10 Responden (29,4%). Ada Hubungan. Asupan Nutrisi  Dengan Penyembuhan Luka Post Operatif Pada Anak. Hasil Uji Statistik P Value = 0,005 (  Or: 11,667. Disarankan Petugas Kesehatan Memberikan Makan Sedikit Tapi Sering, Makan Selagi Hangat Dan Kolaborasi Dengan Ahli Gizi Untuk Memberikan Makanan Yang Disukai Pasien
Pengaruh Usia Terhadap Kualitas Hidup Pasien Myocardial Infarction
Authors: Wibowo Tophan Heri
Published: October 2019

ABSTRACT

Patients with previous myocardial infarction and stroke are the highest risk group for further coronary and cerebral events. myocardial infarction alters physical, psychosocial, spiritual well-being and adversely affects overall quality of life This study aimed to determine the effect of age and the quality of life among myocardial infarction patients. This study utilized descriptive correlational research with cross sectional approach. The study utilized set of instruments, an adapted instrument of MacNew Quality of Life After Myocardial Infarction (MacNew QLMI) questionnaire to measure the quality of life myocardial infarction. The results of this study were obtained middle age group were 66,7 %. Quality of life for physical domain has an average weighted mean of 4.51. the results of the data analysis using the Mann Whitney test were obtained emotional domain p=0,995 (p<0,05), physical domain p=0,624 (p<0,05), social domain p=0,191 (p<0,05). It means that the age does not influence the quality of life of patients with Myocardial Infarction.

Keywords: Age, Quality of Life, Myocardial infarction
Standardisasi Parameter Spesifik dan Non Spesifik Ekstrak Etanol Buah Asam Gelugur (GarciniaAatroviridis Griff.)
Authors: Samodra Galih
Published: October 2019

Acid gelugur fruit (Garcinia atroviridis) is one of the Garcinia families that has long been used as traditional medicine. Gelugur acid has been widely used as a cooking spice by Malay people, but it also has the ability to reduce cholesterol. Besides that, it has antioxidant properties and can reduce body weight and cholesterol. The purpose of this study was to establish specific parameter standards and non-specific parameters from the ethanol extract of acid gelugur fruit. The extract was obtained by maceration method using 70% ethanol with a rendament of 37.15%. Specific parameters include observations of organoleptic extracts of tamarind fruit showed, dark brown, distinctive smelling, and sour. Contains several sekendur metabolites such as flavonoids and saponins. The level of the compound that is soluble in water is 3.6%, while the content of the compound dissolved in ethanol is 3.9%. Total ash content of 2.99%. Non-specific parameters include acid insoluble ash content of 1.03%. The drying rate of geluguric acid simplicia was 7.20%. Water content of sour fruit gelugur extract was 13%.
Pengaruh Bahan Pengisi Terhadap Massa Cetak Tablet Vitamin C
Authors: Nawangsari Desy
Published: October 2019

Avicel® PH is branded name from microcrystalline cellulose that is generally used in pharmaceutical preparations. Avicel® PH are being used as filler or binder in dosage formulas in tablets especially for direct compression because having a good flowing rate and a good compressibility. This study aims to compare the influence of the use Avicel® PH 101 and Avicel® PH 102 as a filler on of preparations a tablet of ascorbic acid. A method of the research was conducted by making granule of ascorbic acid tablet with the variation filler, then the granule was evaluate in .The results showed Avicel® PH 102 as a filler produce granule which better seen from the flowability, static angle of repose, carr’s index and hausner ratio .
Identifikasi Senyawa Kimia Fenolik Dalam Ekstrak Etil Asetat Kulit Buah Jengkol (Archidendron pauciflorum (Benth.) I.C Nielsen)
Authors: Pian Ahmad Sopian
Published: October 2019

Jengkol (Archidendron pauciflorum (Benth.) I.C Nielsen) is a plant that is already familiar inIndonesia and is widely used as a processed food that is quite popular. One of the underutilized parts ofthe jengkol plant is the skin. Jengkol fruit peel contains alkaloid compounds, flavonoids, tannins,glycosides, sapoinin and steroids or triterpenoids. The purpose of this study was to determine the contentof chemical compounds in ethyl acetate extract of jengkol fruit peel, and to test antioxidant activity byDPPH free radical reduction method. The results of isolation, purification in ethyl acetate extract ofjengkol fruit skin does not provide activity as an antioxidant. The results of the analysis using FTIRspectrophotometry, Gas chromatography-Mass Spectrometry (GC-MS) and Nuclear Magnetic ResonanceSpectroscopy ( 1 HNMR).