bluuebunny/crossref_metadata_2025 huggingface dataset:
Securing Cryptographic Chips against Scan-Based Attacks in Wireless Sensor Network Applications
Authors: Wang WeiZheng , Deng Zhuo , Wang Jin , Sangaiah Arun Kumar , Cai Shuo , Almakhadmeh Zafer , Tolba Amr
Published: October 2019

Wireless sensor networks (WSN) have deeply influenced the working and living styles of human beings. Information security and privacy for WSN is particularly crucial. Cryptographic algorithms are extensively exploited in WSN applications to ensure the security. They are usually implemented in specific chips to achieve high data throughout with less computational resources. Cryptographic hardware should be rigidly tested to guarantee the correctness of encryption operation. Scan design improves significantly the test quality of chips and thus is widely used in semiconductor industry. Nevertheless, scan design provides a backdoor for attackers to deduce the cipher key of a cryptographic core. To protect the security of the cryptographic system we first present a secure scan architecture, in which an automatic test control circuitry is inserted to isolate the cipher key in test mode and clear the sensitive information at mode switching. Then, the weaknesses of this architecture are analyzed and an enhanced scheme using concept of test authorization is proposed. If the correct authorization key is applied within the specific time, the normal test can be performed. Otherwise, only secure scan test can be performed. The enhanced scan scheme ensures the security of cryptographic chips while remaining the advantages of scan design.
Fruit Detection and Segmentation for Apple Harvesting Using Visual Sensor in Orchards
Authors: Kang Hanwen , Chen Chao
Published: October 2019

Autonomous harvesting shows a promising prospect in the future development of the agriculture industry, while the vision system is one of the most challenging components in the autonomous harvesting technologies. This work proposes a multi-function network to perform the real-time detection and semantic segmentation of apples and branches in orchard environments by using the visual sensor. The developed detection and segmentation network utilises the atrous spatial pyramid pooling and the gate feature pyramid network to enhance feature extraction ability of the network. To improve the real-time computation performance of the network model, a lightweight backbone network based on the residual network architecture is developed. From the experimental results, the detection and segmentation network with ResNet-101 backbone outperformed on the detection and segmentation tasks, achieving an F 1 score of 0.832 on the detection of apples and 87.6% and 77.2% on the semantic segmentation of apples and branches, respectively. The network model with lightweight backbone showed the best computation efficiency in the results. It achieved an F 1 score of 0.827 on the detection of apples and 86.5% and 75.7% on the segmentation of apples and branches, respectively. The weights size and computation time of the network model with lightweight backbone were 12.8 M and 32 ms, respectively. The experimental results show that the detection and segmentation network can effectively perform the real-time detection and segmentation of apples and branches in orchards.
A Simple, Low-Cost Micro-Coating Method for Accuracy Improvement and Its Application in Pressure Sensors
Authors: Yao Jia-Lin , Chen Yu-Xuan , Qiang Wen-Jiang , Wang Xi-Zi , Wei Hao , Gao Bo-Hang , Yang Xing
Published: October 2019

The demand for high-accuracy pressure sensors has increased with the advancement of technology in a wide variety of applications. However, it is generally difficult and expensive to improve the accuracy of the pressure sensor because it usually depends on the sensing principle and the internal physical structure of the pressure sensor, varying with its material and production process. Thus, a simple, low-cost, and generally applied post-processing method is proposed to improve the accuracy of pressure sensors. In this method, a micro-coating is cladded on the surface of the sensor, which effectively isolates the adverse effect of the external environment, similar to applying a “micro-protective clothing” on the pressure sensor. Experiments on seven pressure sensors are conducted, in which the micron-thin parylene polymer is utilized as the surface-deposited coating layer to demonstrate the improvement of accuracy. Results show that the accuracy was improved, with an average increase of approximately 62.54% than before cladding, while the sensitivity was almost unchanged. The principle of improving the accuracy of this method was also analyzed. The proposed simple, efficient, and low-cost method of cladding micro-coating for enhancing the accuracy of sensors can be widely applied in various fields of industrial automatic control.
Detection of Simulated Fukushima Daichii Fuel Debris Using a Remotely Operated Vehicle at the Naraha Test Facility
Authors: Nancekievill Matthew , Espinosa Jose , Watson Simon , Lennox Barry , Jones Ashley , Joyce Malcolm J. , Katakura Jun-ichi , Okumura Keisuke , Kamada So , Katoh Michio , Nishimura Kazuya
Published: October 2019

The use of robotics in harsh environments, such as nuclear decommissioning, has increased in recent years. Environments such as the Fukushima Daiichi accident site from 2011 and the Sellafield legacy ponds highlight the need for robotic systems capable of deployment in hazardous environments unsafe for human workers. To characterise these environments, it is important to develop robust and accurate localization systems that can be combined with mapping techniques to create 3D reconstructions of the unknown environment. This paper describes the development and experimental verification of a localization system for an underwater robot, which enabled the collection of sonar data to create 3D images of submerged simulated fuel debris. The system was demonstrated at the Naraha test facility, Fukushima prefecture, Japan. Using a camera with a bird’s-eye view of the simulated primary containment vessel, the 3D position and attitude of the robot was obtained using coloured LED markers (active markers) on the robot, landmarks on the test-rig (passive markers), and a depth sensor on the robot. The successful reconstruction of a 3D image has been created through use of a robot operating system (ROS) node in real-time.
Design and Implementation of Thermal Comfort System based on Tasks Allocation Mechanism in Smart Homes
Authors: Imran  , Ahmad Shabir , Kim DoHyeun
Published: October 2019

The recent trend in the Internet of Things (IoT) is bringing innovations in almost every field of science. IoT is mainly focused on the connectivity of things via the Internet. IoT’s integration tools are developed based on the Do It Yourself (DIY) approach, as the general public lacks technical skills. This paper presents a thermal comfort system based on tasks allocation mechanism in smart homes. This paper designs and implements the tasks allocation mechanism based on virtual objects composition for IoT applications. We provide user-friendly drag and drops panels for the new IoT users to visualize both task composition and device virtualization. This paper also designs tasks generation from microservices, tasks mapping, task scheduling, and tasks allocation for thermal comfort applications in smart home. Microservices are functional units of services in an IoT environment. Physical devices are registered, and their corresponding virtual objects are initialized. Tasks are generated from the microservices and connected with the relevant virtual objects. Afterward, they are scheduled and finally allocated on the physical IoT device. The task composition toolbox is deployed on the cloud for users to access the application remotely. The performance of the proposed architecture is evaluated using both real-time and simulated scenarios. Round trip time (RTT), response time, task dropping and latency are used as the performance metrics. Results indicate that even for worst-case scenarios, values of these metrics are negligible, which makes our architecture significant, better and ideal for task allocation in IoT network.
Effectiveness of Ecosystem Strategies for the Sustainability of Marketplace Platform Ecosystems
Authors: Inoue Yuki , Hashimoto Masataka , Takenaka Takeshi
Published: October 2019

Physical intermediary firms, such as logistics firms, are the foundation of marketplace platform ecosystems. This study introduces the case of a delivery crisis caused by the withdrawal of major logistics firms from the Japanese marketplace platform. To address such a problem, this study considers the application of an “ecosystem strategy”. We define an ecosystem strategy in this situation, as “the strategy by which the platform owner cooperates with logistics firms to standardize logistics services and provides a platform system to improve cooperation among them”. We constructed an agent-based simulation system customized by a dataset of Japanese platform-based markets to test the effectiveness of the proposed strategy. The results indicate that the introduction of the ecosystem strategy postponed the start of the collapse. It also increased the number of platform users by roughly 1.10 times and increased the total profits of logistics firms about 1.22 times. Additionally, it removed the trade-off relationship between platform users and the profits of logistics firms and allowed the maximization of both. This study contributed to the research stream of platform ecosystems by defining an ecosystem strategy, including physical intermediary firms, and verifying the effectiveness of the strategy for ecosystem evolution and sustainability.
Assessment of the Economic Value of Ecological Conservation of the Kenting Coral Reef
Authors: Lee Chun-Hung , Chen Yun-Ju , Chen Chu-Wei
Published: October 2019

Sightseeing and recreation have become prevalent in the Kenting coral reef area. However, coral reefs in Kenting are being severely bleached at an increasing rate under the influence of excessive human activities and climate change that have necessitated stronger conservation policies by the government. Based on a random utility model for coral ecology conservation, the preferences and willingness-to-pay (WTP) values of diving, fishing, and sightseeing visitors are analyzed. Empirical results show that: (1) increasing living coral coverage, improving water quality, restricting the number of daily visitors, increasing biodiversity, increasing the ratio of marine protected areas, and reducing the coral reef’s conservation fund will improve the overall utility of Kenting for visitors; (2) the WTP values significantly vary with respondents’ socioeconomic background and travel behaviors; (3) the results of a latent class model (LCM) also show that the two groups with different coral conservation preferences and WTP values have different socioeconomic backgrounds and travel behaviors.
Development of Open-source Software and Gaze Data Repositories for Performance Evaluation of Eye Tracking Systems
Authors: Kar Anuradha , Corcoran Peter
Published: October 2019

In this paper, a range of open-source tools, datasets, and software that have been developed for quantitative and in-depth evaluation of eye gaze data quality are presented. Eye tracking systems in contemporary vision research and applications face major challenges due to variable operating conditions such as user distance, head pose, and movements of the eye tracker platform. However, there is a lack of open-source tools and datasets that could be used for quantitatively evaluating an eye tracker’s data quality, comparing performance of multiple trackers, or studying the impact of various operating conditions on a tracker’s accuracy. To address these issues, an open-source code repository named GazeVisual-Lib is developed that contains a number of algorithms, visualizations, and software tools for detailed and quantitative analysis of an eye tracker’s performance and data quality. In addition, a new labelled eye gaze dataset that is collected from multiple user platforms and operating conditions is presented in an open data repository for benchmark comparison of gaze data from different eye tracking systems. The paper presents the concept, development, and organization of these two repositories that are envisioned to improve the performance analysis and reliability of eye tracking systems.
Mapping Flood-Related Mortality in the Mediterranean Basin. Results from the MEFF v2.0 DB
Authors: Vinet Freddy , Bigot Victoria , Petrucci Olga , Papagiannaki Katerina , Llasat Maria Carmen , Kotroni Vassiliki , Boissier Laurent , Aceto Luigi , Grimalt Miquel , Llasat-Botija Montserrat , Pasqua Angela A. , Rossello Joan , Kılıç Özgenur , Kahraman Abdullah , Tramblay Yves
Published: October 2019

Recent events in Western Attica in Greece (24 deaths in November 2017), in the Balearic Islands (13 deaths in October 2018), and in southern France (15 deaths in October 2018) show that flood-related mortality remains a major concern in Mediterranean countries facing flash floods. Over the past several years, many initiatives have arisen to create databases on flood-related mortality. An international initiative started in 2011 pooling regional and national databases on flood mortality from region and/or countries bordering the Mediterranean Sea. The MEditerranean Flood Fatality Database (MEFF DB) brings together, in 2018, six Mediterranean regions/countries: Catalonia (Spain), Balearic Islands (Spain), Southern France, Calabria (Italy), Greece, and Turkey, and covers the period 1980–2018. MEFF DB is on progress and, every year, new data are included, but for this study, we kept only the preliminary data that were geolocated and validated on 31st of December 2018. This research introduces a new step in the analysis of flood-related mortality and follows the statistical description of the MEFF DB already published. The goals of this paper are to draw the spatial distribution of flood mortality through a geographical information system (GIS) at different spatial scales: country, NUTS 3 (Nomenclature of Territorial Units for Statistics. Level 3) regions, catchment areas, and grid. A fatality rate (F: number of deaths/year/million of inhabitants) is created to help this analysis. Then, we try to relate mortality to basic (human or physical) drivers such as population density, rainfall seasonality, or rainfall frequency across the Mediterranean Basin. The mapping of F shows a negative mortality gradient between the western and the eastern parts of the Mediterranean Sea. The south of France appears to be the most affected region. The maps also highlight the seasonality of flood-related deaths with the same west–east gradient. It confirms that flood mortality follows the climatological seasonal patterns across the Mediterranean Basin. Flood-related fatalities mainly occur during the early fall season in the western part of the Mediterranean area, while the Easter Basin is affected later, in November or during the winter season. Eastern Turkey introduces another pattern, as mortality is more severe in summer. Mortality maps are then compared with factors that potentially contribute to the occurrence of flood fatalities, such as precipitation intensity (rainfall hazard), to explain geographical differences in the fatality rate. The density of a fatal event is correlated to the population density and the rainfall frequency. Conversely, the average number of deaths per event depends on other factors such as prevention or crisis management.
Alain Badiou – Philosophical Tango with the Elusive Theatre
Authors: Denkova Lidia
Published: October 2019

Philosophical commentary on Alain Badiou’s dialogic theatre pamphlet and his broader personal engagement with theatre and cinema.
Altos e baixos estruturais do grupo São Bento na região entre Ribeirão Preto e Sertãozinho, nordeste do estado de São Paulo
Authors: Massoli Marcos
Published: October 2019

A região compreendida entre Ribeirão Preto e Sertãozinho, na porção nordeste do estado de São Paulo, apresenta um arcabouço de altos e baixos estruturais, tendo como referência os contatos entre as formações Serra Geral/Botucatu e Botucatu/Piramboia. O primeiro contato (Serra Geral/Botucatu) foi estabelecido a partir de perfis geológicos de poços existentes, enquanto o segundo (Botucatu/Piramboia), nem sempre bem definido por esses perfis, foi também interpretado com base em perfilagens de raios gama de poços, disponíveis principalmente na região de Ribeirão Preto. Os altos e baixos estruturais identificados apresentam direção predominante NE-SW e estariam associados, principalmente, a corpos de diabásio intrudidos na Formação Pirambóia.
Manejo de nitrogênio no cerrado em sistema plantio direto: Resultados de trabalhos utilizando o isótopo estável 15n
Authors: Lara Cabezas Waldo Alejandro Ruben
Published: October 2019

Producir alimentos con un margen de ganancia, basado en la capacitación técnica y profesional (empresario rural), consciente de la importancia de la conservación de los recursos del suelo y el agua para vivir con dignidad y autoestima es el punto clave de la actividad agrícola actual con éxito. La falta de algunos de estos atributos compromete la permanencia del productor en la actividad rural. Dentro de la puerta, le corresponde al productor aplicar estos atributos para compensar la volatilidad del mercado, la presencia del intermediario, la situación climática y la falta de control del productor (fuera de la puerta). Entre los insumos, los fertilizantes cuestan significativamente los costos de producción, y especialmente los nitrogenados que, cuando se administran bien, favorecen la productividad con el ingreso. En este trabajo, se hace hincapié en la importancia de la materia orgánica (OM) en el manejo de la fertilización con nitrógeno, seguida de una discusión de los resultados presentados en trabajos que utilizan el marcador 15N en el manejo de la fertilización con nitrógeno (fuente, dosis, estación y modo de aplicación) Las condiciones que conducen a una mejor eficiencia en la utilización de fertilizantes nitrogenados en los suelos de Cerrado.
Un cambio de paradigma a nivel asistencial en el que se brinda atención farmacéutica directa a los usuarios de medicamentos.
Authors: Monge Bogantes Luis Carlos
Published: October 2019

La farmacia en los últimos años ha tenido que reinventarse no una sino en múltiples ocasiones a lo largo de los últimos siete décadas aproximadamente en las que desde la conceptualización de la farmacia clínica y el desarrollo de la farmacia hospitalaria (toxicología, información de medicamentos, farmacocinética, radiofarmacia, farmacia oncológica, preparaciones magistrales, entre otras actividade de importancia clínica) hemos llegado en los últimos veinte años al desarrollo de la nueva conceptualización de la atención farmacéutica no solo en el ámbito clínico-hospitalario sino también en el cuidado directo de los usuarios de los medicamentos a nivel asistencial privado, es por eso de gran importancia hoy en día el desarrollo de la consulta farmacéutica privada en beneficio de la calidad de vida de la población y el garantizar la seguridad en el uso racional y responsable de los medicamentos.
Legal changes in the order of prescribing and processing of prescriptions for medical use drugs
Authors: Падалкин Василий , Padalkin Vasiliy , Новиков Георгий , Novikov Georgiy , Ковальцов Олег , Koval'cov Oleg
Published: October 2019

Legal regulation of medical practice is an integral part of the Russian health care system. The improvement of regulatory legal documents in this area shows the growth in the need not only to be modern and “up to date” with the social and political environment, but to stay in balance between the rights and the obligations in legal relations in the “patient-healthcare professional-state” system. In this article we observed the novelties in legislation made to regulate the order of drugs prescription and the procedure of prescription new prescription lists. We tried to reflect the main and problematic aspects of the electronic form of prescriptions. In our article the main source of these legal changes to be used was the new Order of the Ministry of Health of Russia dated January 14, 2019 N 4n, registered with the Ministry of Justice of Russia on March 26, 2019 N 54173.
ESSENTIAL FEATURES OF STRUCTURAL MODERNIZATION OF THE REGIONAL ECONOMY
Authors: Shashyna Maryna
Published: October 2019

Introduction. Due to constant external and internal threats and the need to overcome their consequences, the regional economy requires structural modernization. Especially it concerns the determination of regional policy priorities, mechanisms for its implementation, and the improvement of tools and methods for the implementation of modernization measures.

Purpose. The article aims to substantiate the content of the structural modernization of the regional economy and its essential features.
Results. In the process of scientific research, the interest of scientists to the problem of structural modernization of the regional economy has been investigated. The existence of three scientific approaches to the understanding of the concept of “modernization of the regional economy” has been provided. Among these approaches, we can distinguish the following ones: evolutionary, process and systemic approaches. The content and intrinsic features of the structural modernization of the regional economy are presented through modernization of economic policy, modernization of public administration as well as regulation and modernization of the sectoral structure of the economy. The author’s understanding of the category under study is given. It is stated that the concept of “modernization of regional economy” is a process of formation, transition to new forms of regional development or movement to modern types of regional structure, which consists of reflection of the system of interaction between regions and state central bodies and is accompanied by qualitative transformational changes of the regional system. The further tasks of scientific studies on the substantiation of the theoretical and methodological base of qualitative and quantitative estimation of modernization processes of the regional economy are determined.
THE ROLE OF INSURANCE IN PROVIDING FINANCIAL SAFETY OF AGRICULTURAL DEVELOPMENT
Authors: Prystemskiy Oleksandr , Sakun Alina
Published: October 2019

Introduction. The article analyses the state of the insurance market of Ukraine. It is found out that during the investigated period the indexes of insurance of agricultural products have reduced. It is established that the insurance system of agriculture is the regulator of the processes of social and economic development in the agricultural sector. There is a systematic list of agricultural risks, which determine the specifics of the industry.
Purpose. The article aims is to define and carry out the analysis of insurance in ensuring financial security of agricultural development, to study the insurance market and systematize the scientific views.
The method (methodology). In the process of research, we have used the following methods: method of comparison, method of analysis, method of theoretical and logical generalization. The dialectical method of research has become the methodological basis of the study.
Results. It has been established that special importance in the regulation of financial security of agricultural development acquires the role of agri-insurance, as a way of levelling out possible threats. It has been revealed that the most common risks in agriculture that affect the financial security situation are natural risks, risks of self-reproduction, seasonality, low competitiveness, limited attractiveness of agricultural production for investors, etc.
INSTRUMENTS FOR MINIMIZING THE TAX BURDEN IN UKRAINE: COMPARATIVE ANALYSIS AND APPLICATION EFFECTS
Authors: Tiutiunyk Inna , Kobushko Iana
Published: October 2019

Introduction. The level of the tax burden in Ukraine remains one of the highest in the world. It is a threat to the stable functioning of economic entities and the development of the business sector. The current state of development of tax legislation in Ukraine does not stimulate economic entities to legalize their activities and to legalization their financial flows. The complexity and internal contradiction of legislative acts, the peculiarities of the calculation and payment of taxes affect the decision-making of economic entities on tax evasion. In the context of the growing need to increase tax revenues to budgets of all levels without the use of additional tax pressure, identification of all possible schemes for minimizing tax payments and eliminating the conditions for their use are the most important tasks of the tax system.
Purpose. The article aims to investigate modern instruments for minimizing tax burden by economic entities and determining the effects of their application.
Results. According to the results of the study, the main causes of tax evasion, methods and mechanisms of using the instruments of minimizing the tax burden have been determined. The effects of their application have been investigated. The analysis of the most common schemes for avoiding taxation has been carried out. It is established that most of them are based on the imperfection of the existing simplified taxation system. The results of the study have showed that the use of instruments for minimizing tax burden leads to a reduction in fiscal flows, a deterioration of the economic environment, the emergence of negative macroeconomic effects. Among the negative macroeconomic effects, we can distinguish the following ones: the deformation of the balance of payments, withdrawal of capital from the country, the formation of additional pressure on the exchange rate, destructive impact on the formation of multi-sectoral priorities of customs and tax policy of the country, deepening of corruption schemes. The necessity of development and application of effective tools for counteraction to tax evasion for timely identification of the unlawful actions of business entities has been proven. It should be done with the aim to increase the level of financial security and to strengthen the competitiveness of Ukraine's economy.
KNOWLEDGE TRANSFER AS ONE OF THE FACTORS OF INCREASING UNIVERSITY COMPETITIVENESS
Authors: Bazarova Madina , Wójcik Waldemar , Zhomartkyzy Gulnaz , Kumargazhanova Saule , Popova Galina
Published: October 2019

The paper deals with university knowledge transfer. The adjustment of relations between universities and enterprises makes knowledge transfer a necessary requirement for university development to ensure the implementation of market-oriented educational programs. The paper proposes use of modular competency-based and ontological approaches to ensure the university knowledge transfer. The initial data is presented in the databases of the university, authorized bodies of education and science, enterprises, business structures and professional standards. This data is processed and scanned for knowledge to be put into the knowledge database with technological (informational) and modular competency-based approaches.  As part of a market-oriented innovation university concept the task is to improve the education system in relation to skills development. To solve this problem it is necessary to build a distributed information system of university knowledge transfer. It is necessary to create a unified educational space - an educational portal - to ensure the university knowledge transfer between all participants - teachers, students and employers. The study offers an architectural solution for a distributed information system.
THE SYSTEM OF COUNTERACTION TO UNMANNED AERIAL VEHICLES
Authors: Lishchyna Nataliia , Lishchyna Valerii , Povstiana Yuliia , Yashchuk Andrii
Published: October 2019

In the article, the development of a system of counteraction to unmanned aerial vehicles is considered. A way to counteract unmanned aerial vehicles is described. The analysis of parameters of the system and its constituent parts is carried out. The structural scheme of the system, functional and principle schemes of subsystems on the basis of Arduino are described.
Nile Tilapia Oreochromis niloticus Culture Development Strategy In Floating Net Cage Of Galela Lake, North Halmahera Regency, North Mollucas Province
Authors: Eteke Charlly N. , Sinjal Hengky , Ngangi Edwin L. A. , Darwisito Suria
Published: October 2019

This study aims to examine the development strategy of Nile tilapia (Oreochromis niloticus) culture in Galela Lake, North Halmahera Regency, North Mollucas Province. It is a descriptive study. Data collection used direct observations, interviews, and literature studies, and data analysis applied SWOT analysis, and continued with Quantitative Strategic Planning Matrix (QSPM)).  Results revealed that there were 6 priority strategies taken to develop the culture of the nile tilapia (O. niloticus) as follows: 1. Human resources development; 2. Take advantage of the investment-providing institutions for culture development; 3. Optimize the use of nile tilapia culture in the floating net cage; 4. Broaden the marketing access; 5. Increase the fish seed quality and the product quality; 6. Agreement among the fish farmers to maintain security in the floating net cage localities.Keywords: strategy, Galela Lake, nile tilapia, SWOT, QSPM. ABSTRAKPenelitian ini bertujuan untuk mengkaji strategi pengembangan budi daya ikan nila (Oreochromis niloticus) di Danau Galela Kabupaten Halmahera Utara Provinsi Maluku Utara. Penelitan ini merupakan penelitian deskriptif. Teknik pengembilan data melalui observasi langsung dan wawancara, dan studi literature. Analisis data menggunakan analisis SWOT. Dan dilanjutkan dengan uji OSPM  (Quantitative Strategis Planning Matrix).  Hasil dari analisis data menghasilkan enam strategi prioritas untuk pengembangan budi daya ikan nila (oreochromis niloticus) yaitu 1. Peningkatan pembinaan SDM 2. Memanfaatkan lembaga penyedia modal untuk pengembangan budi daya 3. Optimalisasi lahan budi daya ikan nila di karamba Jaring apung (KJA) 4. Memperluas akses pemasaran 5. Peningkatan kualitas benih ikan nila dan kualitas produk 6. Kesepakatan antar pembudidaya dalam menjaga keamanan di lokasi karamba jaring apung (KJA).Kata Kunci : Strategi, Danau Galela, Ikan Nila, Analisis SWOT, Analisis QSPM
Glycemic index of nuggets made from eel flour (Monopterus albus) and tempeh flour for nutritional support for diabetic hemodialysis patients
Authors: Widiany Fery Lusviana
Published: October 2019

Background: Diabetes mellitus is one of the cause of end-stage renal failure and is also a comorbid of end-stage renal failure patient with hemodialysis. Diabetes is difficult to treat in diabetic hemodialysis patients. Diabetic hemodialysis patients will also experience malnutrition because of inadequate protein intake and gastrointestinal disorders such as nausea, vomiting, and anorexia, so nutritional support that meets the requirements of the diabetic hemodialysis diet is needed, which is high in protein, high in calcium, low in phosphorus, and has a low glycemic index, completed by nuggets made from a mixture of eel flour and tempeh flour. Objective: To determine the quantity and glycemic index category of nuggets made from a mixture of eel flour and tempeh flour with a proportion of 50%: 50% as nutritional support for diabetic hemodialysis patients. Methods: This experimental study using the one group intervention without control design used objects in the form of nuggets with the proportion of mixing eel flour (Monopterus albus) and tempeh flour by 50%: 50%. The measurement of glycemic index was carried out after respondents consumed test food (nuggets). Blood glucose levels measurement conducted at 30th minute, 60th minute, 90th minute, and 120th minute respectively. Results: The nugget’s glycemic index was 48.06, so it was categorized as a low glycemic index. Conclusion: Nugget made from eel flour and tempeh flour with a proportion of 50%: 50% is categorized as a food with low glycemic index, and it can be given as nutritional support for diabetic hemodialysis patients.
Iodium intake, history of breastfeeding, growth and development of toddler aged 13–23 months at Srumbung, Magelang
Authors: Nirmayanty Gloria , Metty Metty , Widodo Untung S.
Published: October 2019

Background: The age of 0–2 years is the golden period because this is period of the fastest development of brain nerve. Breast milk contains iodine which is useful to maximize the process of growth and development of children. Iodine deficiency can also cause cretinism, usually occurring in endemic hyacinth areas such as at Srumbung. Objective: To determine the relationship between iodine intake and establishment of breastfeeding toward the growth and the development of toddler aged 13–23 months in three villages in Srumbung, Magelang City. Methods: This was survey study with cross sectional design. The study was conducted from April to May 2018 in Ngablak, Ngargosoko and Srumbung. The population were 110 toddler aged 13–23 months. Subjects were 86 children and were taken with proportional random sampling. Data of iodine intake, history of breastfeeding, and developmental were collected through interviews, while anthropometric data were obtained through direct measurement. Data were analyzed using Chi Sqare test with CI 95%. Results: The statistical analysis showed the maternal iodine intake and child growth had p =0,350, maternal iodine intake with child development had p=0,170, history of breastfeeding with child growth had p=0,130 and history of breastfeeding with child development had p=0.004. Conclusion: There was no relationship between maternal iodine intake and child growth, maternal iodine intake and child development, and history of breastfeeding and child growth. There was relationship between establishment of exclusive breastfeeding with development.
Affordable Remote Monitoring of Health Status using Facial Image Processing
Authors:   Assisttant Professor, Department of Electrical Engineeri, Australian College of Kuwait, Kuwait., Gheitasi* A. , Omari M.M. ,   Assisttant Professor, Department of Electrical Engineering ,Australian College of Kuwait, Kuwait., Hashem A. ,   Department of Electrical Engineering, Australian College of Kuwait, Kuwait., Al-Dfere E. ,   Department of Electrical Engineering, Australian College of Kuwait, Kuwait., Al-Moussawi H. ,   Department of Electrical Engineering, Australian College of Kuwait, Kuwait., Farhat K. ,   Department of Electrical Engineering, Australian College of Kuwait, Kuwait.
Published: October 2019

This paper presents a real-time monitoring system with a novel approach to assess the human health status without the need for using a body sensor. The project mainly targets improving the quality of life for those living independently but still require close monitoring. Skin fluctuation of the human face is monitored real time with a high-speed camera to determine vital signs including the heart rate and blood pressure. A few image processing algorithms have been utilized to determine the image fluctuations and extract the related features and acquire vital signals. An algorithm assesses and evaluates the risks involved in irregular behaviors and takes follow up actions where required. The application has been implemented on two platforms and interfaced with a high-speed camera to evaluate the performance of the remote monitoring system in indoor situations.
Construction of Schemes, Models and Algorithm for Detection Network Attacks in Computer Networks
Authors:   Providing Information Security Department, Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Tashkent, Uzbekistan, Sherzod* Gulomov , Dilmurod Abdullaev ,   Providing Information Security Department, Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Tashkent, Uzbekistan, Nodira Malikova ,   Information Technology Department, Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Tashkent, Uzbekistan, Khusniya Akhmedova ,   Hardware and Software of Control Systems in Telecommunication Department, Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Tashkent, Uzbekistan
Published: October 2019

This article is devoted to develop network attack detection schemes to search for vulnerable servers and the likelihood of determining the type of attacks by the contents of network packets, a network attack recognition scheme that allows to filter external network traffic by processing incoming requests is proposedas well a network detection model attacks as signs of detecting the position of a security policy is offered. Based on the analysis of time series, a network attack detection model that allows identifying network attacks by a threshold value is developed and a mathematical model for real-time recognition of network attacks is proposed.Model of the behavior of the information flows are shown that the linear model does not provide an adequate assessment of the current process to the critical states. Within the framework of developing models for detecting network attacks, an algorithm for detecting and identifying network attacks is proposed, which allows one to perform not only an exhaustive search for the classification features of network attacks, but to limit itself to a shortened search.The behavior of the queue of half-open compounds are described with an absorbing state, and a system of differential equations for state probabilities are obtained. Also new requests to belong to a particular cluster are analyzed.
Mechanised Rubber Tapping Devices
Authors:   Professor, Rajagiri College of Social Sciences,Kalamassery, Ernakulam, Kerala, India., Ramesh* B. , Krishnakumar N. M. ,   Assistant Professor, School of Life Sciences, Rajagiri College of Social Sciences, Kalamassery, Ernakulam, Kerala, India., Ramesh Rahul ,   Research Schlar, Department of Management Studies, Kannur University, Thalasserry Campus, Palayad, Kannur-670661, Kerala, India.
Published: October 2019

Kerala is the leading State in India for rubber plantations and grows to 92% of the Country’s total rubber production. Rubber is an important agricultural plantation, rapidly expanding in to both climatically optimal and suboptimal environmental conditions. Tapping of rubber trees is a skill oriented work and the labors availability in this field is a big problem faced today, which affected the natural rubber productivity in the plantations of Kerala. The unskilled labors cannot be used for traditional method of rubber tapping. This condition warrants the need of a semi-automatic or mechanised rubber tapping machine, which doesn’t need labor skill. The present study explains the Designs and other specifications of four Models of mechanised Rubber Tapping Devices
Beamforming Algorithm Architectures for Medical Ultrasound
Authors:   VLSI Department, National Institute of Electronics and Information Technology, Calicut, India., SG* Sreejeesh , Sakthivel R. ,   SENSE SCHOOL, Vellore Institute of Technology, Vellore, India., Kidav Jayaraj U ,   VLSI Department, National Institute of Electronics and Information Technology, Calicut, India.
Published: October 2019

Medical ultrasound scanners are amongst the most sophisticated signal processing machines in use today. The Beamformer is the brain of whole signal processing system of the scanner [1]. Beamforming allows message transmission or reception to be directed or spatially selective. It is used in receiving beamforming to concentrate the noise signals obtained in the region of concern as reflections from various tissue structures. This paper reviews the various receive beamformer architectures implemented in FPGA/ASIC for ultrasound imaging. Most of the receive beamformers are implemented using the standard technique Delay and Sum. Beamforming in ultrasound instruments for medical imaging has traditionally been implemented using analog delay lines. The concept of dynamic focusing in near field has resulted more complex analog delay structures and were replaced by digital structures. By the availability of high-speed analog to digital converters, and VLSI Technology improvements have now made real time implementation of digital beamformers feasible. The current innovations involve hybrid beamformers utilizing the pros of both analog and digital structures. This paper discusses the evolution of beamforming architectures from analog to digital environment and the current beamformer designs. The changes in beamformer designs in order to be compatible to high frequency probes and yield improved imaging performance, resource optimization, etc. are discussed.
Big Data Analytics Model for the Education Sector
Authors:   CSE Dept. Nirma Institute of Technology, Ahmedabad, Gujarat, India., Shah* Bhavin D. , Choksi D. B. ,   PG Dept. of Comp.Sci., Sardar Patel University, Vallabh Vidyanagar, Gujarat, India.
Published: October 2019

With an array of innovative technologies, the 21st century has struck at our door. Many sectors are embracing the implementation of a revolutionary technology called Big Data Analytics. The education sector has lately jumped on the bandwagon. With the new evolving education technology capable of generating Big Data, stakeholders have firmly started adopting the use of Big Data Analytics in the education sector. This paper proposes a model for Big Data Analytics depicting various required components, for the education sector. Various sources of education data provide the necessary input to the model and model produces useful results in the form of the output using various tools and technologies of Big Data ecosystem. The outputs are going to be consumed by various stakeholders of the education sector. The paper also describes the concept of Big Data, new technologies influencing the education sector and explains why Big Data Analytics is going to be core technology in analyzing the data and taking the world of education to new heights. We have also listed beneficiaries and benefits.
The Cinematic Signature of Director Shyamaprasad
Authors:   Assistant Professor Department of English, Amrita School of Arts and Sciences, Amritapuri, Das K V* Aswathy
Published: October 2019

Auteur theory which arose in France in the late 1940s considers the director of a film as a gifted creative individual who leaves his imprint, if not all, in most of his films. With his distinguishing film-making style and personal leitmotifs, the creator’s signature sweeps through his films and the director triumphs in articulating his personality through them. In Malayalam cinema, where auteurs are finite, the director Shyamaprasad has managed to be distinguished as one, with his recurring style and themes. A mise-en-scene analysis and content analysis of his films reveals that he can be appraised as a successful auteur based on the consistency with which the director expresses a uniquely personal point of view in his films through the use of recurring themes, characters and situations. His films transcend the individual and become universal with the distinctive imprint of the unconventional director.
Heart Signal analysis on Multi-Domain Features Extraction by SVM Classifier in Smart Monitoring System
Authors:   Department of EEE, CMR Institute of Technology, Bengaluru, India, Agalya* V. , Sumathi S. ,   Department of EEE, Mahendra Engineering College, Tamil Nadu, India.
Published: October 2019

According to world health organization (WHO) the heart strokes and cardiovascular diseases death rate is increases every year. Heart signal is one of the most predominant physiological signals of our body, including a large number of physiological and pathological information that can reflect the cardiovascular status. This work aims to develop a heart signal quality assessment method by three common case studies of deep breath, speaking and climbing up &down. In data collection, a total features were extracted from domain statistics. Here statistical analysis is employed for reducing dimension of a particular features. For classification of electrocardiogram (ECG) signals cardiac arrhythmias using deep learning model is used by Cubic Wavelet Transform. These parameters are used as input to these classifier with types of ECG signals. A SVM with radial basis kernel function was trained for final signal quality classification. The best effect was obtained on distinguishing resting from climbing up& down and the result showed that the classification performance was significantly improved after feature selection. These results indicate that the proposed method is effective for identifying different cases. The hardware testing was implemented and tested for the same case studies.
Internet of Things and Healthcare Systems
Authors:   Assistant Professor, Department of Electronics and Instrumentation Engineering, Dr.Mahalingam college of Engineering and Technology, Pollachi., Deeparani* M. , Kamalakkannan P.E ,   Assistant Professor , Department of Electronics and Instrumentation Engineering, Dr.Mahalingam college of Engineering and Technology, Pollachi., Janagam R. Baby ,   Assistant Professor, Department of Electronics and Instrumentation Engineering, Dr.Mahalingam college of Engineering and Technology, Pollachi., Kalamani Dr.M. ,   Assistant Professor, Department of Electronics and communication Engineering , Bannari Amman Institute of Technology, Sathyamengalam ,Erode.
Published: October 2019

IoT is an emerging and main technology which connects everyday objects and physical devices .The Internet of Things (IoT) is a system with physical devices and embedded systems, with sensors, electronics, software and network connectivity, which are used to remotely monitored and controlled various events. IoT device application covers home automation, environment monitoring ,transportation, Industrial applications, Energy management , Medicine and Health care. IoT in healthcare is used for the purpose of data collection ,analysis ,research, monitoring
Application of Feed Forward Neural Network for Prediction of Optimum Coagulant Dose in Water Treatment Plant
Authors:   Professor,Civil Engineering Department, Dr D Y Patil Institute of Technology, Pimpri, Pune- 411018, India., Kote* Dr. A. S. , Wadkar D. V. ,   Research Scholar, Civil Engineering Department, Dr D Y Patil Institute of Technology, Pimpri, Pune- 411018, India. And Asst Prof AISSMS COE, Pune
Published: October 2019

Coagulation is anecessary process used mainly to reduce turbidity and natural organic matter in water treatment. The dosage of coagulant required is conventionally determined by carrying out jar tests which consume time and chemicals.In India, coagulant dose in a WTP remains constant during certain periods due to delay in jar testing, which may lead to under-dosing or over-dosing of coagulant. This research work is focused on applying artificial neural network (ANN) approach to predict coagulant dose in a WTP. Forty-eight months daily water testing data concerning inlet & outlet water turbidity and coagulant dose were obtained from the plant laboratory for ANN modelling. The appropriate architecture of feed forward neural network (FFNN) coagulant models were established with several steps of training and testing by applying various training algorithms vizLevenberg-Marquardt (LM) and Bayesian regularization (BR), resilient back propagation (RBP), one step secant(OSS),variants of conjugate gradient(CG) and modifications of gradient descent (GD) with evaluating coefficient of correlation (R) & mean square error (MSE). Further, best performed LM and BR training algorithm were used for development of four ANN models of FFNN for prediction of coagulant dose at WTP. FFNN coagulant model with BR training algorithm provided excellent estimates with network architecture (2-50-1) for coagulant dose with maximum value of R= 0.943 (training) and R = 0.945 (testing). Thus, ANN provided an effective diagnosing tool to understand the non-linear behavior of the coagulation process, and can be used as a valuable performance assessment tool for plant operators and decision makers.