bluuebunny/crossref_metadata_2025 huggingface dataset:
EVALUASI PEMBELAJARAN MATAKULIAH KEWIRAUSAHAAN BERBASIS PROYEK PADA POLITEKNIK LP3I JAKARTA KAMPUS PASAR MINGGU
Authors: Wibowo Edi Wahyu
Published: September 2019

Kewirausahan adalah kemampuan kreatif dan inovatif yang dijadikan dasar, kiat, dan sumber daya untuk mencari peluang menuju sukses. Inti dari kewirausahaan adalah kemampuan untuk menciptakan seuatu yang baru dan berbeda melalui berpikir kreatif dan bertindak inovatif untuk menciptakan peluang dalam menghadapi tantangan hidup. Salah satu strategi pembelajaran Kewirausahaan  yang dapat membantu mahasiswa agar memiliki kreativitas berfikir, pemecahan masalah, dan interaksi serta membantu dalam penyelidikan yang mengarah pada penyelesaian masalah-masalah nyata adalah project-based learning (PBL) atau pembelajaran berbasis proyek. Evaluasi Pembelajaran Matakuliah Kewirausahaan berbasis proyek (Target Profit) pelaksanaan dengan menggunakan metode Objective Oriented Approach yang dipopulerkan oleh Tyler. Tujuan pembelajaran matakuliah Kewirausahaan pada Politeknik LP3I Kampus Pasarminggu yaitu 30% Lulusan mahasiswa menjadi pengusaha / mencapai Target Profit lebih dari Rp. 500.000,- selama semester 2 maka didapat hasil secara keseluruhan dari total 109 mahasiswa maka sebanyak sebanyak 58 mahasiswa (53%) mencapai target profit dan 51 Mahasiswa (45%) tidak mencapai target profit, hanya program pendidikan Informatika saja yang tidak mencapai target profit, jika ditelusuri maka dari gender / jenis kelamin laki-laki untuk program pendidikan informatika Komputer kurang dapat menerima pembelajaran berbasis proyek.  Pembelajaran matakuliah Kewirausahaan berbasis Proyek dapat terus dijalankan di Politeknik LP3I Jakarta Kampus Pasarminggu, dengan memberikan kombinasi strategi pembelajaran khusus untuk program pendidikan Informatika Komputer seperti strategi  Collaborative Learning.

Kata kunci : Kewirausahaan, Project Based Learning, Evaluasi Pembelajaran
Preliminary Study on Access to Health Services for Elderly Women: The Age and Socio-Economic Issues of Elderly Women in Pancuran Village, Salatiga
Authors: Sanubari Theresia Pratiwi Elingsetyo , Yaniariyani Catherina Frisca
Published: September 2019

The increasing number of elderly people from year to year shows the high life expectancy in elderly women. This situation coupled with cultural and social aspects can trigger vulnerability for elderly women, including the health aspect. This study aims to describe the factors of access to health services for elderly women in the village of Pancuran, Salatiga. The method used is descriptive-quantitative with data collection carried out in Pancuran Village using a questionnaire. Elderly women in Pancuran Village have different economic, educational, employment and social status backgrounds but have the same vulnerability to access health services due to the unavailability of posyandu for the elderly in Pancuran Village. Nevertheless, efforts to access health services are still underway. This research shows that cultural involvement in health care is needed to realize integrated, patient-centered, and gender-friendly health services.
The Vulnerability of Occupational Health of Women Home Workers: A Study in Labor-Intensive Industries in Penjaringan, North Jakarta
Authors: Rifyana Evania Putri
Published: September 2019

Labor-intensive industries oriented to low prices, has a strategy of reducing labor costs to compete in a competitive market. To streamline the production burden, the company issues a portion of its production commodities to workers outside the factory, in this case homeworkers. The majority of homeworkers are poor women who live around industrial areas. Through a qualitative approach, this study wants to find out the working conditions of women homeworkers working in labor-intensive industries, especially in the shoe sector, in the slums of the Capital City of Jakarta, namely the Penjaringan area, North Jakarta. The study found that women homeworkers do not have access to proper occupational health, making their conditions vulnerable. This vulnerability is influenced by poor working environment conditions, inadequate Health and Safety (K3), and the absence of social protection and security for women homeworkers. In addition, the house, which is used as a production space on a massive scale, also has implications for the daily survival of women homeworkers and their families.
Ceviz Kabuğunun Karbonizasyonu ile Elde Edilen Katı Ürününün Toprak Düzenleyicisi Olarak Kullanılması
Authors: YAMAN Elif , APAYDIN-VAROL Esin , GÜLTAŞ Hüseyin Tevfik , ÖZBAY Nurgül
Published: September 2019

Biyokütlenin oksijensiz ortamda bozundurulması ile
elde edilen piroliz katı ürünü (biyoçar), toprak kalitesini iyileştirici
özelliğinden dolayı toprak düzenleyicisi olarak kullanılabilmektedir. Yapılan
bu çalışmada, ceviz kabuğundan 500 °C'de biyoçar elde edilmiş ve biyoçar
(g):toprak (kg) oranı 5, 10 ve 20 olmak üzere üç farklı oranda biyoçar-toprak
karışımları hazırlanmıştır. Elde edilen karışımlar 3, 8 ve 12 haftalık
sürelerde inkübasyona bırakılmış ve inkübasyon sonunda toprak örneklerinin
karakterizasyonu için pH, elektriksel iletkenlik, katyon değiştirme kapasitesi
(KDK) ve su tutma kapasitesi (STK) ölçümleri yapılmıştır. Taramalı Elektron
Mikroskobu-Enerji-Dağılımlı X-Işını (SEM-EDX) tekniği ile inorganik madde
miktarı ve Kjeldahl metodu ile azot miktarı belirlenmiştir. Yüksek karbon
içeriğine ve gözenekli yapıya sahip olan biyoçar, toprağın elektriksel
iletkenlik ve pH değerlerini önemli ölçüde azaltırken, azot miktarını ise
artırmıştır. Toprak için su tutma kapasitesi yaklaşık 0.55 g/g olarak
belirlenirken, biyoçar-toprak karışımında bu değerin 0.60 g/g’a yükseldiği
görülmektedir. Biyoçarın bitki büyüme üzerindeki etkisi incelendiğinde, en
verimli sonucun biyoçar (g):toprak (kg) oranının 5 olduğu örnekten elde
edildiği belirlenmiştir.
Lineer ve Lineer Olmayan Flor Katkılanmış Lityum Topaklarının Optik Özelliklerinin İncelenmesi
Authors: ÜNAL Arslan , GÜVENİR Selçuk
Published: September 2019

Bir flor atom katkılanmış lityum
topaklarının lineer (LinF, n=1-8) ve lineer olmayan (LinF,
n=2-8)  kararlı yapılarının optik
özellikleri, hibrit-Yoğunluk Fonksiyonel Teorisi (h-DFT) yardımıyla kuramsal
olarak araştırılmıştır. Lineer LinF (n=1-8) topaklarının en kararlı
izomerik yapıları Becke 3 Lee-Yang-Parr (B3LYP) fonksiyoneli
ve Los Alamos National Laboratory -2 double zeta (Lanl2dz) temel seti kullanılarak elde edilmiştir.
Literatürde rapor edilen lineer olmayan LinF (n=2-8) topaklarının taban
durumu geometrik yapıları h-DFT / B3LYP / Lanl2dz teori seviyesinde kararlılıkları
test edilmiştir. Elde edilen lineer ve lineer olmayan topakların global minimum
yapılarına ait dipol moment (µ),
statik ortalama polarizebilite (<α>), anizotropik polarizebilite (∆α) ve
birinci dereceden statik toplam moleküler hiperpolarizebilite (β0)
değerleri yine aynı metot ve temel set ile incelendi. Bu çalışma, yeni lineer
ve lineer olmayan optik malzemelerin veya uygulamaların tasarımında çalışan deneysel
araştırmacılara faydalı optik bilgiler verebilir.
Estatus jurídicos de las personas transexuales en la Unión Europea y Latinoamérica
Authors: Carrasco Medina Janny , Defossez Delphine
Published: September 2019

Las personas trans están entre los miembros más vulnerables de cualquier sociedad y experimentan altos niveles de estigmatización y marginación. El presente artículo tiene como objetivo realizar un análisis de los derechos de las personas transexuales, abordando para ello tanto la jurisprudencia como la legislación en el contexto europeo y latinoamericano. Dentro del nudo cognitivo jurídico internacional y apoyado en la metodología cualitativa se realizó una caracterización de la realidad facto-jurídica de la legislación aplicable a estas personas.
HYBRID ITERATIVE LEARNING CONTROL FOR POSITION TRACKING OF AN ELECTRO HYDRAULIC SERVO SYSTEM
Authors: Qadri Mansoor Zahoor , Ali Ahsan , Sheikh Inam-ul-Hassan
Published: September 2019

Accurate position control of an electro hydraulic servo system (EHSS) is a challenging task due to inherent system nonlinearities, parametric variations and un-modelled dynamics. Since feedback controllers alone cannot provide perfect tracking control, an integration of feedback and feed forward controller is required. A cascaded iterative learning control (ILC) technique for position control of EHSS is proposed in this paper. ILC is a feed forward controller which modifies the reference signal for a feedback fractional order proportional-integral-derivative (PID) controller by learning through current control input and previous error obtained through trails. Unlike other feed forward controllers, ILC works on signal instead of system which eliminates the need of complete knowledge of the system. As compared to other controllers, the proposed technique provides fast convergence without the need of reconfiguring the existing control loop. Simulation and experiments revealed the effectiveness of the proposed technique for EHSS. The obtained results indicated eight percent improvement in rise time and nearly twenty one percent improvement in the settling time.
ECONOMIC INTERPRETATION OF ACCELERATION (DECELERATION) FACTORS DEPENDING ON INITIAL STATISTICAL INFORMATION
Authors: Strochykhin Yuriy , Tsvyetkova Lyudmila
Published: September 2019

The article considers calculated situations which arise in course of calculation of one of the statistical indicators of dynamics of social and economic phenomena, that is coefficient of acceleration (deceleration), and make a direct influence on the subsequent semantic interpretation of the obtained coefficient.
The study is based on the method of statistical classifications which are presented in a table form; the method of calculation for analytical indicators of two exposing rows of dynamics is used (growth rates, acceleration (deceleration) coefficients). On the basis of this method the economic interpretation of the latter is constructed. It is accompanied with the transition derived from the growth rates to statistical indicators of absolute and relative changes in increment rates (in percentage points and percentages) which enables to visualize the obtained results and explain them; in a number of situations, the author's methodology has been used to compare the heterogeneous (of different signs) indicators, contributing to the expansion of the comparative analysis potential.
As a result the classification and identification of the coefficients for acceleration (deceleration) of the growth of social and economic phenomena depending on the initial statistical information have been developed; the concepts of statistical growth, both positive and negative, unidirectional and multidirectional growth have been verified; a scheme of economic interpretation of the acceleration (deceleration) coefficients in implicit cases has been proposed; the method of comparison for the indicators of different signs has been used (on the example of multidimensional growth rates).
INDUSTRIAL PARKS AS AN INSTRUMENT FOR MODERNIZING REGIONAL ECONOMY
Authors: Chornyi Roman , Rumiantseva Halyna
Published: September 2019

The importance of implementing a consistent policy of encouraging the development of industrial parks in Ukraine as a synergetic mechanism for stimulating investment and innovation activity, which has a systemic multi-purpose impact on the economy, contributes to structural and technological modernization and, at the same time, acts as a powerful engine of local and regional development. The essence of industrial (industrial) parks is highlighted, which will allow to carry out industrial modernization of the country and regions and restore the competitiveness of the national commodity producer in the global investment market. Features of mechanisms of state support of industrial parks in Ukraine and abroad are revealed. The mechanism of creation and functioning of domestic industrial parks with specification of models of management by such territorial entities in the context of world experience is proposed.
REGIONAL FEATURES OF THE DEVELOPMENT OF AGRICULTURAL BASE OF ENTERPRISES FOOD INDUSTRY
Authors: Koshil Anatolii
Published: September 2019

Plant growing is a traditional specialization of agriculture on the territory of Western Ukraine. Favorable factors of its development have had a positive effect on gardening, which has become a priority for the processing industry for the last five years. Ukrainian farmers use modern plant cultivation technologies, increase the profitability of production, create new working places.
The budgets of territorial communities have additional financial revenues. All these factors contribute to lowering social tensions in the region. However, the overcoming of deterrent factors
in the development of the industry requires state support for attracting foreign capital, increasing subsidies for laying new gardens, loyal lending to construction projects for modern fruit stores. The solution of these problems will help ensure the processing enterprises with the high-quality raw materials and increase the competitiveness of ecological products of food industry at the world market and increase the currency inflows of the state as well.
DEMOGRAPHIC COMPOSITION OF REGIONAL POPULATION REPAIR: PROBLEMS AND PROSPECTS
Authors: Babiak Halyna , Mesaksudi Tetiana
Published: September 2019

The article is about problems of reproduction of the population of Ternopil region. Substantiated demographic policy is an important factor in regulating population reproduction processes.
It should have influence on the formation of the society's desired mode of reproduction of the population or preservation of changes in trends in the dynamics of population and structure of population, the pace of their changes, dynamics of birth rate, mortality, family composition, internal and external migration, qualitative characteristics of the population. It is necessary to develop and approve the Concept of Demographic Development of Society if we want to improve the current demographic situation in Ukraine and in the Ternopil region. An assessment of trends in the demographic development of the Ternopil region is presented in this article. Authors concludedthat the current demographic situation is negative after studying demographic processes in the region. The population is reduced due to natural and mechanical movements. Analyzing the current state of the development of demographic processes in the Ternopil region, it is advisable to identify trends in population changes in the future. Therefore in this article we made evaluation of the prospects of population development in the region. The article contains information about population in Ternopil region and that it will decrease in the future. Therefore, the development of effective demographic policies is necessary. It would stop the negative processes of reproduction of the population, by changing the direction of their development. It involves real and specific steps for the development of the economy, the social sphere and improve the living level of the region. Practical recommendations on the perspective and ways of improving the demographic situation in the region are developed in the article.
EVALUATION OF BIOLOGICAL ASSETS AND PECULIARITIES OF FINDING THE FINANCIAL RESULT OF AGRICULTURAL ENTERPRISES OF THE REGION
Authors: Bryk Mykhailo
Published: September 2019

The necessity of improving the methodology for evaluating agricultural products and additional biological assets with initial recognition, as well as reflection in the account of financial results of agricultural activity, is substantiated.
WATER-RESOURCES COMPLEX FOR SUSTAINABLE DEVELOPMENT: PROBLEMS OF DISTRIBUTION AND WATER SHORTAGE
Authors: Faifura Vasyl
Published: September 2019

The article deals with the current problems of providing water resources to the countries of the world and regions of Ukraine, emphasizes the role of the water factor in ensuring further social and economic development. Issues of water shortage and related political, social and economic problems are considered. The regional aspects of the world and national distribution of water resources are considered, an assessment of the water supply of the regions of the country available to the use of water resources.
LOCATION OF EMPLOYMENT PAYMENT IN INCREASE OF LABOR ACTIVITY OF EMPLOYEES
Authors: Prokhorovska Svitlana
Published: September 2019

In the article the role of salary is investigationalin the increase of labour activity of workers. The objectiveand subjective indexes of labour activity are distinguishedand the forms of her display are studied at the level of enterprise. It is well-proven that an important place in the increase of labour activity of workers belongs to material stimulation and salary.
It is found out, that at the construction of the system of material stimulation service of personnel must actively cooperate with financial subdivisions and company management, to provide realization of principles of remuneration of labour workers. The terms of just payment of labour are certain. It is set thatthe size of profits of population and their distributionin fluence on the labour activity of personnel.
FORMATION OF CONFLICT MANAGEMENT SYSTEM IN ORGANIZATION
Authors: Tsisetskyi Orest , Ostroverkhov Viktor
Published: September 2019

The article deals with the approaches and principles of forming a system of conflict management in the organization. Conflict science and practice have quite significant developments
in the theory of conflict and its application in production activities. However, the lack of a systematic approach in the process of intervention in the conflict interaction in the organization
does not always give the expected results. A system approach to any activity – is a guarantee of achieving the desired result. In the organization's activities, systemicity must be an integral part of
all levels and segments of management. In order for the system to ensure the effective implementation of the tasks, it should be formed and developed on the basis of the principles of
specialization, integrity, co-operative, structuring, adaptability and self-control. As practice shows, very few enterprises and organizations have conflict management specialists and even fewer specialized units. Our proposed system will provide a professional approach to conflict management. Based on the above principles, we believe that the conflict management system in the organization should consist of the following elements: vision, resources, staff, incentives, action plan. The existence of a conflict management system in the organization can ensure the functioning of the organization without conflicts, which will facilitate its effective operation. Creating an effective conflict management system in an organization should be on the agenda of all managers of organizations, regardless of the sphere of activity and ownership.
Elinor Ostrom: proving the effectiveness of collective action in management (the Noble Prize in Economics in 2009 “for research in the field of economic organization”)
Authors: Shymanska Oksana
Published: September 2019

The article substantiates Elinor Ostrom’s contribution to the theory of collective management of property. The author outlines solutions to problems of the most optimal use of scarce natural resources and their economically relevant preservation in a long-term perspective. The research paper affirms the idea that it is not only the government who can solve the problem of efficient use of resources for public purposes. It is proved that collective decisions can be made in the management of resources, under which the latter are maintained in good conditions while being used for general public. The most accepted models (‘the tragedy of the commons’, ‘the prisoner’s dilemma’, ‘the logic of collective action’) are examined. The above- mentioned models are frequently used as tools to study cases of economic policy-making in allocating scarce resources for public purposes, and as a concept for analyzing problems of individuals who seek to achieve collective benefits. It is emphasized that there is a need for a balanced application of the above models as metaphors, which substitute solid foundations of the economic policy, since the limitations suggested for easing the analysis are accepted without reservation as permanent empirical requirements that remain as such until adjustments are made by the government. Special emphasis is placed on the importance of developing the theory of human organization based on realistic assessments of human possibilities and limitations that arise when a number of various situations related to using public goods are to be resolved. It is stressed that the empirically supported theories of human organization as an important component of study on economic policy are able to complement the solutions with estimates of the most likely effect of using many ways of organizing human activities. It is concluded that E. Ostrom’s experimental research in the field of natural resources management can be used to solve large-scale range of issues related to the production of public goods.
Combined Approach to Human Capital Assessment at a Trading Enterprise
Authors: Pirogova O. E. , Plotnikov V. A.
Published: September 2019

The presented study examines human capital and methods of its assessment at the micro-level of the economic system, in the activities of trading enterprises.

Aim. The study aims to substantiate a methodological approach to the assessment and prediction of the human capital of a trading enterprise using the concept of enterprise value management.

Tasks. The authors determine the importance of human capital for the efﬁciency of managing a trading enterprise, explore the essence of human capital and speciﬁc aspects of its analysis at the micro-

level of the economic system, and propose a combined method for assessing and predicting human capital indicators at an enterprise.

Methods. This study uses the methods of institutional and structural analysis, assessment of investment projects, systems analysis, enterprise value management, and specific methods of human capital research.

Results. The study provides a detailed description of human capital with allowance for the specific aspects of its manifestation at the micro-level of the economic system and industry-specific features of trade; examines the methods of and approaches to the assessment of efficiency of investments in human capital, also taking into account industry-specific features; proposes a combined method for human capital assessment at a trading enterprise based on a combination of CIV and MVAIC methods and a criterion for the assessment of efficiency of investments in human capital based on the relationship between the value of investment and human capital growth during the reporting period.

Conclusions. A new method for assessing and predicting the human capital of trading enterprises is proposed. It is harmonized with a value-based approach to management and can be integrated into the management systems of trading enterprises.
Mood Sensing using Facial Landmarks
Authors:   Srm University Ramapuram,Chennai in Computer Science, Sai Kuppala Sushmanth , Srinath Yaramala ,   Srm University Ramapuram,Chennai in Computer Science, Sabitha P. ,   M.E., Assistant Professor, Department of Computer Science and Engineering, Srm Institute of science and technology., Venkatesh Bejawada ,   Srm University Ramapuram,Chennai in Computer Science, Raghavendran  ,   Srm University Ramapuram,Chennai in Computer Science
Published: September 2019

Communication plays a pivotal role in every person’s life.There are various types of communications in which some are verbal and some are non-verbal. Expressions on a person’s face are a type of non-verbal communication.Expressions on the face can be used to define how the person is feeling, recognizing them helps to enhance the human-machine interaction.Thus we propose a system that is un-affected by the illumination changes or the light changes. Expressions on the human face can be computed by using CLM,constrained local models inserts a dense model to a new input image to get the emotions stats .SVM classifier is used to distinguish the input image into different emotion categories. Results showed a remarkable increase in efficiency and performance. Change in lighting conditions will have a very little effect on the efficiency of the system.
IOT Based Portable Medical Kit
Authors:   Electronics and Communication Engineering (UG), Vellore Institute of Technology, Vellore, India, Arora Kartik , Singh Sanjay Kumar ,   School of Electronics Engineering Vellore Institute of Technology, Vellore, India
Published: September 2019

Medication requirements and health issues have been on the rise in the last decade and to cater to this numerous technologies have been introduced to the health sector. Internet of Medical Things (IoMT) has been on the rise and providing medical care to the much needed through services, smart medical devices that not only provides an enhanced platform to the doctor but also to the patients to maintain better healthcare levels. This paper addresses the implementation of a multilayered architecture for a health monitoring kit incorporated with sensors and alert mechanism to activate a pill dispenser. The sensor data is relayed to a personalized android application and care has been taken to make sure that the patient receives the medicine on time and in the required dosage.
Human Identification in Smart Home Environment
Authors:   School of Computing, SASTRA Deemed University, Thanjavur, Tamil Nadu, Priyadharshini S. Shakthi , Umamakeswari A. ,   School of Computing, SASTRA Deemed University, Thanjavur, Tamil Nadu
Published: September 2019

People moved their life as automatic systems, like smart home. But here major issues is security, the sensitive personal information have been raised the privacy concerns such as (modifying the data, unauthorized access of data) among peoples would like to share their personal information are only utilized for their benefits, rather than being utilized for malignant purpose. Person Identification in smart home with real time is the major challenging in monitoring system. Capturing the still and live images with high efficiency is the complex task. This system provides the efficiency in higher rate with quick response. Data are lively gathered and lively compared with the data, so the process is undergoing the HAAR and the Convolutional Neural Network (CNN). Capturing and labeling the images is done with the live processing then the live video processing is taken the frames of images. So, the data are not stored for long time, and compared the still and live frames in the known frame databases it matches the features and notify the system with two categories as known and unknown.
3DMSNET: 3D CNN Based Brain MRI Segmentation
Authors:   Department of Computer Science, SRM Institute of Science & Technology, Chennai, India., Ahmad Junaid , Kotagiri Bhanu Bhaskar ,   Department of Computer Science, SRM Institute of Science & Technology, Chennai, India., Seetharaman Haresh ,   Department of Computer Science, SRM Institute of Science & Technology, Chennai, India., Kumar Ajay ,   Department of Computer Science, SRM Institute of Science & Technology, Chennai, India., Arunnehru J. ,   Department of Computer Science, SRM Institute of Science & Technology, Chennai, India.
Published: September 2019

Segmentation of the brain images has become an important task to analyze the abnormality in infants. Automatic methods are important as the infant brain growth has to be tracked and it is almost impossible for an individual to manually segment the MRI data on particular intervals. The manual segmentation tasks are time-consuming and require highly skilled professionals to segment images. Automatic segmentation methods have gained huge support for segmenting MRI images. Several segmentation methods lack accuracies due to nearest neighbor or self-similarity problems. The CNNs have outperformed the traditional methods and are proving to be more reliable day by day. The proposed method is a patch-based method which uses 3DMSnet (3DMulti-Scale Network) for segmentation. The model is evaluated on BrainWeb and other publicly available datasets.
Design of Highly Secured Biometric Voting System
Authors:   B.Tech ECE SRM IST., Narayanan N Prashanth , Pradeep Chikkala Surya ,   B.Tech ECE SRM IST., Gulat Piyush ,   B.Tech ECE SRM IST., Bharath Gollapudi Raj ,   B.Tech ECE SRM IST., Nivash S. ,   Assistant Professorin School of ECE, SRM Institute of science and tec.
Published: September 2019

Voting is the most basic right of every citizen and is one of the most important responsibilities of every citizen. The votes which we cast decide the future of our country, and we must vote honestly and not succumb to any sort of pressure as the phrase goes "With great power comes great responsibility". Now once our votes are cast, we should ensure they are not manipulated in any way. The current voting system (EVM) is easy to manipulate i.e., there is a lot of human intervention which in turn could compromise the results of the elections, hence in this project we will try to solve this vulnerability by introducing a two-step verification which will help avoid the middle man attack i.e. only when the voter is physically present the fingerprint of the voter can be registered and only then the OTP will be sent to user’s mobile number this in turn prevents fake voters.
Energy Consumption Based Low Energy Aware Gateway (LEAG) Protocol in Wireless Sensor Networks
Authors:   Pursuing Research, Computer Application, Annamalai University., Revathi A. , Santhi S. G. ,   Assistant Professor in the Department of Computer Science and Engineering,
Published: September 2019

Wireless Sensor Networks (WSN) consists of a large amount of nodes connected in a self-directed manner. The most important problems in WSN are Energy, Routing, Security, etc., price of the sensor nodes and renovation of these networks is reasonable. The sensor node tools included a radio transceiver with an antenna and an energy source, usually a battery. WSN compute the environmental conditions such as temperature, sound, pollution levels, etc., WSN built the network with the help of nodes. A sensor community consists of many detection stations known as sensor nodes, every of which is small, light-weight and portable. Nodes are linked separately. Each node is linked into the sensors. In recent yearsWSN has grow to be an essential function in real world. The data’s are sent from end to end multiple nodes and gateways, the data’s are connected to other networks such as wireless Ethernet. MGEAR is the existing mechanism. It works with the routing and energy consumption. The principal problem of this work is choosing cluster head, and the selection is based on base station, so the manner is consumes energy. In this paper, develop the novel based hybrid protocol Low Energy Aware Gateway (LEAG). We used Zigbee techniques to reduce energy consumption and routing. Gateway is used to minimize the energy consumption and data is send to the base station. Nodes are used to transmit the data into the cluster head, it transmit the data into gateway and gateway compress and aggregate the data then sent to the base station. Simulation result shows our proposed mechanism consumes less energy, increased throughput, packet delivery ration and secure routing when compared to existing mechanism (MGEAR).
An Ann Based Real Time System for Classification of Normal and Abnormal Cries of Pre-Term and Neonates
Authors:   Associate Member of the Institution of Engineers (AMIE), Member of IEEE., M B Punith Kumar
Published: September 2019

Infants communicate with the external world through cry. Most of the problems in the infants can be explored through their cry within first year. Variations in cry can sometimes indicate the neurological disorders, genetic problems and many more. Classification of the infant cry as normal and abnormal at the early stages can reduce the course of action or any casualty. Hence this work proposes a computational approach for the early diagnosis of pre-term and neonates' infant cry. The previous works include various algorithms for classification, however the novelty in this work can be attributed to processing only voiced part of the cry signal. The cry signal is first preprocessed by decomposing it into three levels using db13 wavelet in order to remove any noise that has been inherited during signal acquisition. This signal is further processed to extract only voiced part of the speech by identifying the endpoints through Zero Crossing Rate and Energy. Then the MFCC features are extracted, as this kind of signal envelop is best estimated eventually using these kind of features and are used to train feed forward neural networks based on back propagation algorithm. In order to train the network 100 normal and 100 abnormal samples were used. The database has been obtained from the neonatal ward of JSS Hospital, Mysuru. The algorithm has been tested on the test dataset consisting of 50 samples. The performance of the proposed method has been evaluated on only voiced part of the cry signal using the diagnostic test measures and the efficiency is found to be 98%as compared to 90% efficiency if the same procedure is applied on the entire cry signal.
Dual Protectıon for Data usıng Steganographıc Technıques with Embedded Framework
Authors:   Embedded Systems, SASTRA Deemed to be university, Thanjavur, India., Kowshika T.R. , Geetha K. ,   CSE Department, SASTRA University, Thanjavur, India.
Published: September 2019

As the world is getting digitalized, the rush for need of secured data communication is overtop. Provoked by the vulnerability of human visual system to understand the progressive changes in the scenes, a new steganography method is proposed. The paper represents a double protection methodology for secured transmission of data. The original data is hidden inside a cover image using LSB substitution algorithm. The image obtained is inserted inside a frame of the video producing a stego-video. Stego-video attained is less vulnerable to attacks. After decryption phase, the original text is obtained which is error-free and the output image obtained is similar as the cover image. The quality of stego-video is high and there is no need for additional bandwidth for transmission. The hardware implement is required in order to calculate the corresponding analytical results. The proposed algorithm is examined and realized for various encryption standards using Raspberry Pi3 embedded hardware. The results obtained focuses on the attributes of the proposed model. On comparing with other conventional algorithms, the proposed scheme exhibits high performance in both encryption and decryption process with increase in efficiency of secured data communication.
A Cyclotomic Lattice Based Closed Loop QOSTBC for Four Transmit Antennas
Authors:   Professor& Head, Department of ECE, Rajalakshmi Engineering College, Chennai., Palanivelan Dr.M. , Kumar K. Senthil ,   Associate Professor, Department of ECE, Rajalakshmi Engineering College, India., Bakyalakshmi V. ,   Assistant Professor, Department of ECE, Rajalakshmi Engineering College, India. Her research interests include wireless communication and optical.
Published: September 2019

Drawback of the Space Time Block Code (STBC) is, for complex constellations, full rate and full diversity design exist only for two transmit antennas. In this paper, we propose a novel closed loop Quasi Orthogonal Space Time Block Code (QOSTBC) system based on cyclotomic lattices for four transmit antennas. It is a full rate and full diversity design where the information bits are mapped into four dimensional (4-D) lattice points. The bit error and symbol error performance of the system are evaluated by simulation.
Determining the Probability of Recovering Data from Damaged USB Flash Drive
Authors:   Student of M.Sc (Forensic Science), Government Institute of Forensics Science Aurangabad, Department of Digital and Cyber Forensics., Shinde Kalpana Dnyaneshwar , Arun Kale Vini ,   Assistant Professor in Government Institute of Forensic Science. Aurangabad., Kayte Charansing Nathusing ,   HOD of Digital and Cyber forensic in Government Institute of Forensic Science. Aurangabad., Bawiskar Shobha ,   Assistance Professor in Government Institute of Forensic Science. Aurangabad.
Published: September 2019

Habit of storing digital data is becoming a common practice. To cope this need lots off secondary memory devices are commercially available in cheap prices. Important factor is significance of data, its dependability in human daily life. Hence looking at this scenario the cyber crime rates are at hike. Mostly after committing the crime intentionally or unintentionally criminals try to destroy the digital evidence by doing damage to e- device. Basic aim is to check whether damaged secondary can recover the data or not. For this purpose various damaged setup are done and by using software’s results are analyzed.
Applying Machine Learning Techniques to Predict the Maintainability of Open-Source Software
Authors:   Professor in the Department of Computer Applications, New Horizon College of Engineering., Gopal Dr. Madhwaraj Kango , Ms. Amirthavalli  ,   PhD scholar in the Department of Information Technology at SSN College of Engineering, Kalavakkam.
Published: September 2019

Software maintainability is a vital quality aspect as per ISO standards. This has been a concern since decades and even today, it is of top priority. At present, majority of the software applications, particularly open source software are being developed using Object-Oriented methodologies. Researchers in the earlier past have used statistical techniques on metric data extracted from software to evaluate maintainability. Recently, machine learning models and algorithms are also being used in a majority of research works to predict maintainability. In this research, we performed an empirical case study on an open source software jfreechart by applying machine learning algorithms. The objective was to study the relationships between certain metrics and maintainability.
The Novel Gravitational Mass Weighted PCA Technique for Feature Extraction in Hyperspectral Data Classification
Authors:   Department of Computer Science, Bharathiar University, Coimbatore, Tamilnadu, India., K Nandhini , R Porkodi ,   Department of Computer Science, Bharathiar University, Coimbatore, Tamilnadu, India.
Published: September 2019

Recent advancements in the imaging spectrometer collect both spatial and spectral information which creates a huge dimensionality. The heavy spectral information creates to build a classifier for discerning between the materials in the scene. The minimum number of training labels always in an exchange between the spectral information and the performance is called the Hughes effect. Also the redundant of spectral information and noisy data presents in the hyperspectral scene. The above issues are overcome using feature extraction and feature selection methods which play a major role in the reduction of dimensionality. This paper proposes the novel fusion Gravitational Mass Weighted Principal Component Analysis (GMWPCA) techniques for hyperspectral data dimensionality. Also, this paper presents the deep insight about the feature extraction techniques in hyperspectral data of both supervised and unsupervised learning methods and experimental analysis in AVIRIS Indian Pines hyperspectral dataset by employing PCA, Probability PCA, LDA, and proposed techniques. The 93.63 % high accuracy achieved by using a novel proposed method.
Adaptive Control System of the Pumping Unit
Authors:   Kazan State Energy University, 51, str. Krasnoselskaya, Kazan, Tsvetkov A.N. , Safin A.R. ,   Kazan State Energy University, 51, str. Krasnoselskaya, Kazan, Ivshin I.V. ,   Kazan State Energy University, 51, str. Krasnoselskaya, Kazan, Petrov T.I. ,   Kazan State Energy University, 51, str. Krasnoselskaya, Kazan, Misbakhov R.Sh. ,   Kazan State Energy University, 51, str. Krasnoselskaya, Kazan, Kornilov V.Yu. ,   Kazan State Energy University, 51, str. Krasnoselskaya, Kazan
Published: September 2019

Rapid diagnosis of the pumping unit should ensure the identification of the main classes of malfunctions and, if possible, a quantitative assessment of the degree of malfunction in order to implement a short-term prediction of the technical condition.
The Effect of Work Plateau on Intention to Remain: Mediating Role of Organizational Commitment
Authors:   Assistant professor, Department of Management, Ferdowsi University of Mashhad, Mashhad, Iran, Latifian Dr. Ahmad
Published: September 2019

In the present study, the the impact of work plateau on intention to remain at work with the mediating role of organizational commitment has been studied. The statistical population of this research is all employees of Ferdowsi University of Mashhad. The research method is descriptive-survey. According to statistics of personnel management office, the number of employees is 1100 in 2017. In order to determine the sample size, due to the limited population, Morgan table was used and 285 people were selected from population through random sampling. In order to collect the data, Alan and Meyer (1990) questionnaire was used to assess organizational commitment, a researcher-made questionnaire was used to investigate the intention to remain at job and Miliaman's questionnaire (1992) was used to investigate career plateauing. The validity of these three questionnaires has been confirmed by experts. Reliability of the questionnaire is confirmed by Cronbach’s alpha coefficient of 86%, 91% and 84%, respectively. The statistical methods used in this research to test the hypotheses are T value and structural equation modeling. Structural equation model in this study was determined using Liserl software, according to which the content plateau and structural plateau, considering the mediator role of organizational commitment, has a negative and significant impact on employees' intention to remain at work.
Critical Exploration of Indian Economic Reforms of 1991: a lesson for Developing Economies
Authors:   Assistant Professor, Department of Management Sciences (PUMBA),Savitribai Phule Pune University, India, Kolte Ashutosh , Siggia Dario ,   Italian Ministry of the University and Research, Subject expert at University of Palermo & Formerly, Policy Adviser at European Parliament, Belgium, Veer Nitin B. ,   Tilak Maharashtra University, India, Daryani Ashish ,   Oriental Bank of Commerce, India
Published: September 2019

The purpose of this research is to examine the impact of reforms that took place in Indian economy in 1991. Balance of payment difficulty resulted in acute economic crisis and therefore economic reforms were inevitable. Post this incident; there have been three more phases of economic reforms. Economic reforms were compelled due to international pressure of the situation post balance of payment crisis of 1991. The significance of this study lies in the derivation of various ways in which these reforms played a major role in the transformation of Indian economy in the form of its impact on poverty, education, socio-cultural mixture, economic growth etc. We have tried to revisit situation of payments crisis and tried to understand if these reforms were enough and were they concrete measures to tackle long-term problem or if they were only sufficient to handle the crisis. Finally we have tried to find out, as to what was left out of reforms or what other measures could have been taken. Balance of payment difficulties are difficulties faced by most of the underdeveloped or developing countries.
Derivation of Organizational Developments from Human Resources-An Evidence from it Sector in Chennai Region
Authors:   Research Scholar, Department of commerce, VISTAS, VELS University Chennai, India, Jananee B , Thaiyalnayaki M. ,   Research guide, HOD Department of BBA, VELS University Chennai, India
Published: September 2019

In a larger context Organizational development (OD) refers to empowering the people and enabling them to use their power for development of the organization to which they belong and society at large. It refers to developing pro-activity and capacity to embrace larger issues. Considering the vital importance to human resources, they are now being treated as assets which are most precious for the survival of the organization. New values are being added. There has been shift from traditional master-slave relationship to the modern trusteeship system (in which employers and employees are considered as partners investing their wealth and labor respectively) and from traditional salary administration to the new Human Resource System (HRS). Human resources being a part of the organization, OD is a sub system of larger system i.e., the organization. And OD is the center of HRS and most vital for the organizational advancement. OD includes both the development of the people and development of the organization.
Detection of Brain Tumor using Image Processing Techniques
Authors:   Deptt. Of CSE, Chandigarh University Gharuan, Mohali, India, Kaur Damandeep , Singh Surender ,   Deptt. Of CSE, Chandigarh University Gharuan, Mohali, India
Published: September 2019

Image processing in biomedical field is being increasingly used for the detection and diagnosis of various abnormalities in the body parts. The detection of brain tumours using image processing on MRI images is one such field where better results are obtained as comparative to CT-scan and x-ray. Prior detection of the brain tumour is desirable and possible with the help of machine learning and image processing techniques. These techniques detect even a small abnormality in the human brain following a four-stage process which includes pre-processing, segmentation, feature extraction and optimization. Different parameters such as accuracy, PSNR, MSE are calculated to find out the efficiency of process and to compare it with other methods. This paper reviews about various different approaches which are used to detect the brain tumor using image processing techniques.
Understanding users Display-Name Consistency across Social Networks
Authors:   Computer Engineering, Aligarh Muslim University, Aligarh, India., Ahmad Waseem , Ali Rashid ,   Computer Engineering, Aligarh Muslim University, Aligarh, India.
Published: September 2019

Online users create their profiles on numerous social platforms to get benefits of various types of social media content. During online profile creation, the user selects a username and feeds his/her personal details like name, location, email, etc. As different social networking services acquire common personal attributes of the same user and present them in a variety of formats. To understand the availability and similarity of personal attributes across various social networking services, we propose a method that uses the different distance measuring algorithms to determine the display-name similarity across social networks. From the experimental results, it is found that at least twenty percent GooglePlus-Facebook and Facebook-Twitter users select the same display name, while forty five percent Google and Twitter user select identical name across both the social networks.