bluuebunny/crossref_metadata_2025 huggingface dataset:
E-HIP: An Energy-Efficient OpenHIP-Based Security in Internet of Things Networks
Authors: Kaňuch Peter , Macko Dominik
Published: November 2019

The rapidly growing segment of the Internet of Things (IoT) makes the security threats more prominent than ever. The research around communication security and cybersecurity in such networks is still a challenge, mainly due to the typically limited energy and computation resources of IoT devices. The strong security mechanisms require significant power and thus the energy wastage must be minimized. Optimized application-specific security protocols are commonly used to make the data transfer more efficient, while still offering a high level of security. The supported security features, such as confidentiality, integrity or authenticity, should not be affected by the optimization. Our work is focused on optimizing one of the existing security protocols for the use in the IoT area, namely the Host Identity Protocol (HIP). Based on the analysis of related works, we have identified multiple possibilities for optimization and combined some of them into the proposed E-HIP optimized protocol. For verification purpose, it has been implemented as a modification of the open-source OpenHIP library and applied on a communication between real hardware devices. The secured communication worked correctly. The resulting effect of the proposed optimization has been evaluated experimentally and it represents an increase in energy efficiency by about 20%. Compared to other HIP optimizations, the achieved results are similar; however, the proposed optimizations are unique and can be further combined with some of the existing ones to achieve even higher efficiency.
Precoding Design for Energy Efficiency Maximization in MIMO Half-Duplex Wireless Sensor Networks with SWIPT
Authors: Xue Liang , Wang Jin-Long , Li Jie , Wang Yan-Long , Guan Xin-Ping
Published: November 2019

This paper explores the energy efficiency (EE) maximization problem in single-hop multiple-input multiple-output (MIMO) half-duplex wireless sensor networks (WSNs) with simultaneous wireless information and power transfer (SWIPT). Such an energy efficiency maximization problem is considered in two different scenarios, in which the number of energy-harvesting (EH) sensor nodes are different. In the scenario where the single energy-harvesting sensor node is applied, the modeled network consists of two multiple-antenna transceivers, of which the energy-constrained energy-harvesting sensor node harvests energy from the signals transmitted from the source by a power splitting (PS) scheme. In the scenario of multiple EH sensor nodes, K energy-constrained sensor nodes are applied and the same quantity of antennas are equiped on each of them. The optimization problem is formulated to maximize the energy efficiency by jointly designing the transceivers’ precoding matrices and the PS factor of the energy-harvesting sensor node. The considered constraints are the required harvested energy, the transmission power limit and the requirement on the data rate. The joint design of the precoding matrices and the PS factor can be formulated as an optimization problem, which can be transformed into two sub-problems. An alternating algorithm based on Dinkelbach is proposed to solve the two sub-problems. The convergence of the proposed alternating algorithm, the solution optimality and the computational complexity are analyzed in the paper. Simulation results demonstrate the convergence and effectiveness of our proposed algorithm for realizing the maximum energy efficiency.
Physiological Responses During Hybrid BNCI Control of an Upper-Limb Exoskeleton
Authors: Badesa Francisco J. , Diez Jorge A. , Catalan Jose Maria , Trigili Emilio , Cordella Francesca , Nann Marius , Crea Simona , Soekadar Surjo R. , Zollo Loredana , Vitiello Nicola , Garcia-Aracil Nicolas
Published: November 2019

When combined with assistive robotic devices, such as wearable robotics, brain/neural-computer interfaces (BNCI) have the potential to restore the capabilities of handicapped people to carry out activities of daily living. To improve applicability of such systems, workload and stress should be reduced to a minimal level. Here, we investigated the user’s physiological reactions during the exhaustive use of the interfaces of a hybrid control interface. Eleven BNCI-naive healthy volunteers participated in the experiments. All participants sat in a comfortable chair in front of a desk and wore a whole-arm exoskeleton as well as wearable devices for monitoring physiological, electroencephalographic (EEG) and electrooculographic (EoG) signals. The experimental protocol consisted of three phases: (i) Set-up, calibration and BNCI training; (ii) Familiarization phase; and (iii) Experimental phase during which each subject had to perform EEG and EoG tasks. After completing each task, the NASA-TLX questionnaire and self-assessment manikin (SAM) were completed by the user. We found significant differences (p-value < 0.05) in heart rate variability (HRV) and skin conductance level (SCL) between participants during the use of the two different biosignal modalities (EEG, EoG) of the BNCI. This indicates that EEG control is associated with a higher level of stress (associated with a decrease in HRV) and mental work load (associated with a higher level of SCL) when compared to EoG control. In addition, HRV and SCL modulations correlated with the subject’s workload perception and emotional responses assessed through NASA-TLX questionnaires and SAM.
Power Efficient Random Access for Massive NB-IoT Connectivity
Authors: Agiwal Mamta , Maheshwari Mukesh Kumar , Jin Hu
Published: November 2019

Sensors enabled Internet of things (IoT) has become an integral part of the modern, digital and connected ecosystem. Narrowband IoT (NB-IoT) technology is one of its economical versions preferable when low power and resource limited sensors based applications are considered. One of the major characteristics of NB-IoT technology is its offer of reliable coverage enhancement (CE) which is achieved by repeating the transmission of signals. This repeated transmission of the same signal challenges power saving in low complexity NB-IoT devices. Additionally, the NB-IoT devices are expected to suffer from congestion due to simultaneous random access procedures (RAPs) from an enormous number of devices. Multiple RAP reattempts would further reduce the power saving in NB-IoT devices. We propose a novel power efficient RAP (PE-RAP) for reducing power consumption of NB-IoT devices in a highly congested environment. The existing RAP do not differentiate the failures due to poor channel conditions or due to collision. After the RAP failure either due to collision or poor channel, the devices can apply power ramping or can transit to a higher CE level with higher repetition configuration. In the proposed PE-RAP, the NB-IoT devices can re-ascertain the channel conditions after an RAP attempt failure such that the impediments due to poor channel are reduced. The power increments and repetition enhancements are applied only when necessary. We probabilistically obtain the chances of RAP reattempts. Subsequently, we evaluate the average power consumption by devices in different CE levels for different repetition configurations. We validate our analysis by simulation studies.
Decision-Making Processes Underlying Pedestrian Behaviors at Signalized Crossings: Part 2. Do Pedestrians Show Cultural Herding Behavior?
Authors: Pelé Marie , Deneubourg Jean-Louis , Sueur Cédric
Published: November 2019

Followership is generally defined as a strategy that evolved to solve social coordination problems, and particularly those involved in group movement. Followership behavior is particularly interesting in the context of road-crossing behavior because it involves other principles such as risk-taking and evaluating the value of social information. This study sought to identify the cognitive mechanisms underlying decision-making by pedestrians who follow another person across the road at the green or at the red light in two different countries (France and Japan). We used agent-based modelling to simulate the road-crossing behaviors of pedestrians. This study showed that modelling is a reliable means to test different hypotheses and find the processes underlying decision-making when crossing the road. We found that two processes suffice to simulate pedestrian behaviors: personal motivation and imitation. Importantly, the study revealed differences between the two nationalities and between sexes in the decision to follow and cross at the green and at the red light. Japanese pedestrians showed a greater mimetic behavior at the red light but the process takes into account both the number of crossing and waiting pedestrians, contrary to French citizens. Finally, the simulations are revealed to be similar to observations, not only for the departure latencies but also for the number of crossing pedestrians and the rates of illegal crossings. The conclusion suggests new solutions for safety in transportation research.
Fathers’ Parental Leave Uptake in Belgium and Sweden: Self-Evident or Subject to Employment Characteristics?
Authors: Marynissen Leen , Mussino Eleonora , Wood Jonas , Duvander Ann-Zofie
Published: November 2019

The limited increase in fathers’ involvement in childcare tasks in response to the unprecedented rise in female labour market participation illustrates the incomplete nature of the gender revolution. Available research provides evidence for micro-economic mechanisms and the influence of gender norms and social policy design on couples’ gendered divisions of parental leave, but knowledge on how national level contexts shape partners’ agency remains limited. Hence, comparative research from different national contexts is needed. This paper examines the association between fathers’ pre-birth income and workplace characteristics, and whether they take up parental leave after the birth of their first child in Belgium and Sweden by using detailed longitudinal register data from Sweden and Belgium. Results show that, whereas an opportunity cost logic seems to underlie fathers’ parental leave decisions in Belgium, gender equality in contributing to the household income yields the highest probability of fathers’ parental leave uptake in Sweden. Furthermore, in Sweden, fathers’ employment characteristics are more strongly associated with whether fathers’ take leave longer than the quota than whether fathers take any leave at all. The different mechanisms in Belgium and Sweden suggest that the design of leave policies and the broader normative and institutional national level context moderate couples’ parental leave uptake decisions.
Observed Daily Profiles of Polyaromatic Hydrocarbons and Quinones in the Gas and PM1 Phases: Sources and Secondary Production in a Metropolitan Area of Mexico
Authors: Ojeda-Castillo Valeria , Hernández-Paniagua Iván , Hernández-Mena Leonel , López-López Alberto , Díaz-Torres José , Alonso-Romero Sergio , del Real-Olvera Jorge
Published: November 2019

The diel variation of meteorological conditions strongly influences the formation processes of secondary air pollutants. However, due to the complexity of sampling highly reactive chemical compounds, significant information about their transformation and source can be lost when sampling over long periods, affecting the representativeness of the samples. In order to determine the contribution of primary and secondary sources to ambient levels of polyaromatic hydrocarbons (PAHs) and quinones, measurements of gas and PM1 phases were conducted at an urban site in the Guadalajara Metropolitan Area (GMA) using a 4-h sampling protocol. The relation between PAHs, quinones, criteria pollutants, and meteorology was also addressed using statistical analyses. Total PAHs (gas phase + PM1 phase) ambient levels ranged between 184.03 ng m−3 from 19:00 to 23:00 h and 607.90 ng m−3 from 07:00 to 11:00 h. These figures both coincide with the highest vehicular activity peak in the morning and at night near the sampling site, highlighting the dominant role of vehicular emissions on PAHs levels. For the gas phase, PAHs ranged from 177.59 to 595.03 ng m−3, while for PM1, they ranged between 4.81 and 17.44 ng m−3. The distribution of the different PAHs compounds between the gas and PM1 phases was consistent with their vapour pressure (p °L) reported in the literature, the PAHs with vapour pressure ≤ 1 × 10−3 Pa were partitioned to the PM1, and PAHs with vapour pressures ≥ 1 × 10−3 Pa were partitioned to the gas phase. PAHs diagnostic ratios confirmed an anthropogenic emission source, suggesting that incomplete gasoline and diesel combustion from motor vehicles represent the major share of primary emissions. Quinones ambient levels ranged between 18.02 ng m−3 at 19:00–23:00 h and 48.78 ng m−3 at 15:00–19:00 h, with significant increases during the daytime. The distribution of quinone species with vapour pressures (p °L) below 1 × 10−4 Pa were primarily partitioned to the PM1, and quinones with vapour pressures above 1 × 10−4 Pa were mainly partitioned to the gas phase. The analysis of the distribution of phases in quinones suggested emissions from primary sources and their consequent degradation in the gas phase, while quinones in PM1 showed mainly secondary formation modulated by UV, temperature, O3, and wind speed. The sampling protocol proposed in this study allowed obtaining detailed information on PAHs and quinone sources and their secondary processing to be compared to existing studies within the GMA.
Students’ Perceived Priorities on Water as a Human Right, Natural Resource, and Multiple Goods
Authors: Rajala Riikka P. , Katko Tapio S. , Springe Gunta
Published: November 2019

As often noted, water is one of the most critical natural resources in the world—one we must take care of so that future generations can enjoy safe water. This study specifically explores university-level water and environmental students’ views on perceived priorities on water. The recent debate on water policy and its complexity is first reviewed, followed by a study on how students perceived water through six predetermined criteria. Interactive learning events (n = 241) were arranged worldwide in 2011–2015 in seven countries and one region: Finland, Latvia, South Africa, Brazil, Mexico, Sri Lanka, USA, and Southern Africa region. The relative distribution of the criteria totaling 100% were as follows: Basic human right 31%, natural resource 25%, economic good 15%, public and social good both 11%, and cultural good 7%. The views did not substantially differentiate despite the different socio-economic conditions. Yet, basic human right should be interpreted wisely remembering environmental, economic, and other realities. Here, the target group consisted of water and environmental students, and it would be very interesting to conduct a comparative study among students in other fields (sociology, economics, etc.). On the whole, we should further analyze the value of water and its priorities to make it easier to manage water resources in the future.
How Can Organisations and Business Models Lead to a More Sustainable Society? A Framework from a Systematic Review of the Industry 4.0
Authors: Tirabeni Lia , De Bernardi Paola , Forliano Canio , Franco Mattia
Published: November 2019

The concept of Industry 4.0 has been mainly addressed by the current literature from a technological perspective, overlooking the organisational and even ethical challenges related to this recent paradigm. In order to become ‘4.0 compliant’, an enterprise must adapt its organisation and business approaches, and these changes may lead to a significant impact on sustainability. Therefore, we performed a systematic literature review to investigate the most recent Industry 4.0 research streams by adopting a multi-perspective approach. This analysis led to collect insights on the key traits of an Enterprise 4.0: integration, decomposed hierarchy, flexibility, and autonomy. Each of these keywords involves work environments, business and organisational models, and educational approaches, which constitute the key traits of the novel framework proposed in this study.
Tramp Ship Routing and Scheduling with Speed Optimization Considering Carbon Emissions
Authors: Fan Houming , Yu Jiaqi , Liu Xinzhe
Published: November 2019

The International Maritime Organization (IMO) proposed to reduce the total CO2 emissions of the maritime sector by 50% by 2050, and strive to gradually achieve the zero-carbon target. Therefore, shipping companies need to consider environmental impacts while pursuing benefits. In view of the tramp ship scheduling with speed optimization problem, considering carbon emissions, the configuration of owner ships and charter ships, and the impact of sailing speed on ship scheduling with the target of minimizing the total costs of shipping companies, multi-type tramp ship scheduling and speed optimization considering carbon emissions is established. A genetic simulated annealing algorithm based on a variable neighborhood search is proposed to solve the problem. Firstly, the ship type is matched with the cargo. Then the route is generated according to the time constraint, and finally, the neighborhood search strategy is adopted to improve the solution quality. The effectiveness of the proposed model and algorithm is verified by an example, which also confirms that ship scheduling and sailing speed joint optimization can reduce costs and carbon emissions. Research results can not only deepen the study of the theory of tramp scheduling but also to effectively solve the tramp shipping schedule considering carbon emissions problems faced by companies to provide theoretical guidance.
Resource Price Fluctuations, Resource Dependence and Sustainable Growth
Authors: Wang Hua , Wang Shi , Yang Cheng-Fu , Jiang Sheng-Nan , Li Yun-Juan
Published: November 2019

The previous literature on the resource curse has not taken resource price fluctuations into account. Using panel data covering the period from 1993 to 2017 from 28 provinces in China and dynamic generalized method of moments (GMM), this article takes a fresh look at the relationship between resource dependence and sustainable economic growth and the potential transmission mechanisms taking resource price fluctuations into consideration. We find that resource price fluctuations represent an important factor when researching the resource curse, and there is a U-shaped relationship between resource dependence and sustainable economic growth. However, over the past 20 years, provinces in China remained on the left of the U-shaped curve, and there is a single negative correlation between resource dependence and sustainable economic growth. This means that resource curse occurs in nearly all provinces in China. The analysis of transmission mechanisms of indirect effects taking resource price fluctuations into consideration shows that human capital investment and physical capital investment are more important than other mechanisms, and there are considerably more indirect effects than direct effects when taking into account the total effects of the resource curse.
Comparative In Vitro Assessment of a Range of Commercial Feed Additives with Multiple Mycotoxin Binding Claims
Authors: Kolawole Oluwatobi , Meneely Julie , Greer Brett , Chevallier Olivier , Jones David S. , Connolly Lisa , Elliott Christopher
Published: November 2019

Contamination of animal feed with multiple mycotoxins is an ongoing and growing issue, as over 60% of cereal crops worldwide have been shown to be contaminated with mycotoxins. The present study was carried out to assess the efficacy of commercial feed additives sold with multi-mycotoxin binding claims. Ten feed additives were obtained and categorised into three groups based on their main composition. Their capacity to simultaneously adsorb deoxynivalenol (DON), zearalenone (ZEN), fumonisin B1 (FB1), ochratoxin A (OTA), aflatoxin B1 (AFB1) and T-2 toxin was assessed and compared using an in vitro model designed to simulate the gastrointestinal tract of a monogastric animal. Results showed that only one product (a modified yeast cell wall) effectively adsorbed more than 50% of DON, ZEN, FB1, OTA, T-2 and AFB1, in the following order: AFB1 > ZEN > T-2 > DON > OTA > FB1. The remaining products were able to moderately bind AFB1 (44–58%) but had less, or in some cases, no effect on ZEN, FB1, OTA and T-2 binding (<35%). It is important for companies producing mycotoxin binders that their products undergo rigorous trials under the conditions which best mimic the environment that they must be active in. Claims on the binding efficiency should only be made when such data has been generated.
Patients’ utilisation and perception of the quality of printed health education materials in primary health care: a cross-sectional study
Authors: Haji Alhan
Published: November 2019

Background

Printed health education (HE) materials are commonly provided in primary health care (PHC). However, little is known about their use by PHC visitors.

Aim

This study explored patients’ opinions and use of printed HE materials in order to determine an ideal output format for HE.

Design & setting

This was a cross-sectional study, which was conducted in three PHC centres at King Abdulaziz Medical City in Riyadh, Saudi Arabia.

Method

Data were collected through a self-administered questionnaire.

Results

Fifty-five point two per cent of participants obtained printed HE materials from PHC waiting areas. The majority read one or more materials and found it helpful and memorable. Seventy-seven point two per cent applied the written message, 24.0% of participants regularly read HE materials, and more than half spent time reading them in the PHC centre’s waiting area. Around half (51.1%) put the material back in its place after reading it. The preferred format was card with text and graphs. The preferred content was healthy lifestyle advice.

Conclusion

Patients do use printed HE materials in a positive way. More efforts are needed to improve the quality of the materials. Different healthcare providers should contribute more in HE.
Examining to what extent pregnancy-related physical symptoms worry women in the first trimester of pregnancy: a cross-sectional study in general practice
Authors: Lutterodt Melissa C , Kähler Pernille , Kragstrup Jakob , Nicolaisdottir Dagny R , Siersma Volkert , Ertmann Ruth K
Published: November 2019

Background

Women often wish to discuss their pregnancy symptoms with their GP. However, the two parties’ understanding of symptoms may not be aligned.

Aim

To examine to what degree a specific pregnancy-related symptom worried women in the first trimester and analyse the characteristics of the most worried women.

Design & setting

A cross-sectional study was performed in general practice in Denmark from 1 March 2015–15 August 2016.

Method

Women attending the first prenatal care visit completed a questionnaire about pregnancy-related physical symptoms and worries. Women were recruited from 125 GP practices and 294 GPs participated in the study. Further data were obtained from their pregnancy health record. Multivariable logistic regression analysis was used to assess the associations between the women’s worries and the severity of the symptoms, which were adjusted for age and parity.

Results

A total of 1508 women, aged 16–45 years, were included and 1455 completed the questionnaire. Nausea, vomiting, pelvic cavity pain, and back pain were the most common symptoms, and 88% reported having two or more symptoms simultaneously. Among the 1278 women reporting nausea, only 21% were worried, while 88% of the 252 women reporting vaginal bleeding were worried. Primigravidae (those pregnant for the first time) were significantly more worried about vomiting and nausea than multigravidae (those who have experienced pregnancy previously). Those aged >35 years were more worried about pelvic girdle pain and pelvic cavity pain than younger women.

Conclusion

Pregnancy-related physical symptoms are frequent in the first trimester. The severity of worries depends on the symptom. Vaginal bleeding and pain give rise to the majority of severe worries, especially among young women.
A Piezoelectric and Electromagnetic Dual Mechanism Multimodal Linear Actuator for Generating Macro- and Nanomotion
Authors: Gao Xiangyu , Li Zhanmiao , Wu Jingen , Xin Xudong , Shen Xinyi , Yuan Xiaoting , Yang Jikun , Chu Zhaoqiang , Dong Shuxiang
Published: November 2019

Fast actuation with nanoprecision over a large range has been a challenge in advanced intelligent manufacturing like lithography mask aligner. Traditional stacked stage method works effectively only in a local, limited range, and vibration coupling is also challenging. Here, we design a dual mechanism multimodal linear actuator (DMMLA) consisted of piezoelectric and electromagnetic costator and coslider for producing macro-, micro-, and nanomotion, respectively. A DMMLA prototype is fabricated, and each working mode is validated separately, confirming its fast motion (0~50 mm/s) in macromotion mode, micromotion (0~135 
μ
m/s) and nanomotion (minimum step: 0~2 nm) in piezoelectric step and servomotion modes. The proposed dual mechanism design and multimodal motion method pave the way for next generation high-precision actuator development.
INNOVATIVE ACTIVITY IN THE FOOD INDUSTRY
Authors: Goncharov Vladimir , Rau Vladimir
Published: November 2019

he article discusses the urgent problems of innovation in the food industry. The main factors that impede the transfer of the industry to an innovative development path are identified. Measures are proposed to stimulate the introduction of innovations in the food industry.
Haber Naklinin Aklen Temellendirilmesi Bağlamında İcmâ’ Rivayetleri Üzerine Bir İnceleme
Authors: ERASLAN Abdulvasıf
Published: November 2019

Hadis
rivayetlerini de içine alan haberlerin aynı düzeyde nakledilmediği bir
gerçektir. Bazı haberler, kaynağından çıktığı an itibariyle yalan üzere
birleşmesi mümkün olmayan kitleler tarafından nakledilirken bazıları da daha az
kişi tarafından aktarılmıştır. Bununla birlikte belirli dönemlerde yaygın bir
şekilde kullanılan ve mütevâtir derecesine ulaşan kimi haberler, sonraki
dönemlerde daha az nakledilip âhâd seviyesine düşebilmekte veya bunun aksi
durumu söz konusu olabilmektedir. Haberlerin nakli hususunda ittifak edilen
görüş ise ameli konularda âhâd haberlerin geçerli olması, itikad ve usûl
konularında ise sadece mütevâtir haberlerin itibara alınmasıdır. Bir usûl
konusu olan icmâ‘ rivayetlerinin nakil durumu ve bilgi değeri alimler
tarafından tartışılmıştır. İlk dönemden itibaren farklı mezheplere müntesip
alimler tarafından tartışılan icmâ‘ rivayetleri, haberlerin nakli konusunda
farklı yaklaşımların ortaya çıkmasına neden olmuştur. Zira kesin bilgi ifade
etmesi gereken bir konu olan icmâ‘ın günümüze ulaşan hadis eserlerindeki
dayanağını âhâd rivayetler oluşturmaktadır. İcmâ‘ ile ilgili rivayetleri akli
açıdan ele alıp tartışan alimlerden biri de akli istidlal metoduyla ön plana
çıkan Mu‘tezile Mezhebi’ne mensup olan Kādî Abdülcebbâr’dır (ö. 415/1025). O,
konuyla ilgili rivayetleri ve bunların ifade ettiği veya edeceği bilgi değeri
hakkında açıklamalarda bulunmuştur. Bu çalışmamızda Kādî Abdülcebbâr’ın icmâ‘
rivayetlerinin nakline yönelik yaklaşımını ele almaya çalışacağız. Bu yaklaşım,
bir dönem mütevâtir derecesinde nakledilen ancak daha sonraları bu niteliği
kaybeden usûl ile ilgili bir konunun ifade edeceği bilgi değerine ışık
tutacaktır.
Usul-i Selase’nin Fatiha Suresindeki İz Düşümü
Authors: ÖZ Ruhullah
Published: November 2019

Sünni
kelam paradigmasının üzerine inşa edildiği üç temel inanç esası olan usûl-i
selâse, Mutezilenin usûl-i hamsesine alternatif geliştirilen bir doktrindir.
Sünni kelam terminolojisinde inanç esaslarının üçe indirgendiği üç temel esas;
ulûhiyet, nübüvvet ve ahirettir. Sistematik Sünni kelam disiplinin
teşekküllüyle beraber kelam kitaplarının üçlü kategorik planı haline gelen
usûl-i selâse doktrininin temel referansı Kur’an ve Hadistir. Usûl-i selâse’nin
temel ilkelerini ana hatlarıyla ihtiva eden Kuranî referanslardan biri de
Fatiha süresidir. Fatiha süresi, İslam inancının eksenini oluşturan bu üç temel
ilkeyi ihtiva etmekle adeta İslam kelamının özü ve özeti niteliğini
taşımaktadır. Bu bakımdan Fatiha, 
ilahiyat bahsinin ana konusu olan Allah’ı; semiyyat mevzusu olan meadı
ve nübüvvet konusu olan peygamberlik müessesinin gerekliliğini konu edinmekle ‘Kitabın
anası’ lakabı ile isimlendirilmiştir. Fatiha süresi, hem mebde (başlangıç)
hem vasat (orta) hem de meâd (ahiret)’e dair usûl-i selâse’yi ihtiva eden ilahi
kompozisyonunun ‘giriş’ cümlesidir diyebiliriz. Bu çalışmada Fatiha süresinin
kelamî açılımını Fahreddin er-Razî’nin perspektifinden tahlil etmeye çalıştık.
Fatiha’nın usûl-i selâse’ye dair kelamî açılımını yaparken Mutezile ve Maturidiye’nin
görüşlerine de yer verdik. Üç kelam mektebinin konuya dair görüşleri arasında
mukayese yaparak konu başlıklarını irdeledik. Şahıs merkezli ve mukayeseli
çapraz atıflı bu çalışmamızda Fatiha’nın kelamî izdüşümünü betimlemeye
çalıştık.
Yerli Kıbrıslı-Türkiye Göçmeni Ayrışmasında Değer Yönelimlerinin Rolü
Authors: GEÇİOĞLU Ahmet Rifat , EMRE Yusuf
Published: November 2019

Bu çalışma, Kuzey Kıbrıs Türk
Cumhuriyeti’nde (KKTC) yaşayan ve Yerli Kıbrıslı
ve Türkiye Göçmeni olarak nitelenen
iki grup arasındaki farklılaşmada değer yönelimlerinin rolünü ortaya koymayı
amaçlamaktadır. Yerli Kıbrıslı kavramı, Osmanlı döneminde adaya gönderilen
Türklerin soyundan gelen ve hâlihazırda KKTC’de ikamet eden kişileri; Türkiye
Göçmeni ise 1974 Kıbrıs Barış Harekâtı’ndan sonra Türkiye’den adaya gelen KKTC
vatandaşlarını tanımlamak için kullanılmıştır. Araştırmanın evreni KKTC
vatandaşları olup, örneklemi ise basit rastlantısal yöntemle seçilen 165’i
(%49) Yerli Kıbrıslı, 172’si (%51) Türkiye Göçmeni olmak üzere toplam 337
kişiden oluşmaktadır. Değer yönelimlerini belirlemek amacıyla katılımcılara Schwartz Değerler Ölçeği uygulanmıştır.
Uygulanan ölçek, asıl ölçeğin dindarlık
değer yönelimi eklenerek 11 değer grubu olacak şekilde değiştirilmiş olan
versiyonudur.  Yapılan lojistik regresyon
analizi sonucunda, hep birlikte tüm değer yönelimlerinin, katılımcıların Yerli
Kıbrıslı veya Türkiye Göçmeni olmalarını anlamlı bir şekilde yordadığı, diğer
taraftan değer yönelimleri tek tek ele alındığında yalnızca dindarlık, uyarılım
ve hazcılık değerlerinin Yerli Kıbrıslı veya Türkiye Göçmeni olmayı anlamlı bir
şekilde yordadığı tespit edilmiştir. Buna göre katılımcıların %68,2’sinin
gruplara üyeliği doğru tahmin edilmiştir. Değer yönelimleri, Türkiye Göçmeni
grubuna üye olmayı (%73,3), Yerli Kıbrıslı grubuna üye olmaktan (%63,0) daha
yüksek bir oranda tahmin etmiştir. Toplam 172 Türkiye Göçmeninden 126’sının,
165 Yerli Kıbrıslıdan da 104’ünün kendi grubuna üyeliği doğru tahmin
edilmiştir. Ortaya çıkan araştırma bulguları, ilgili literatür bağlamında
tartışılmış ve yorumlanmıştır.
Результаты экспериментальных исследований гидравлических ударов, возникающих при работе канализационных насосных станций
Authors: Zhitenev A. , Kurganov I. , Ignatchik V. , Sarkisov S. , Vinokurov P.
Published: November 2019

Представлены результаты исследований гидравлических ударов, возникающих при работе канализационных насосных станций. Исследования проведены на двух однотипных станциях СанктПетербурга. В настоящее время отсутствуют направленные на снижение интенсивности гидравлических ударов на канализационных насосных станциях практические рекомендации, включающие выбор места установки и типа обратных клапанов, сочетание их совместной работы с плавным пуском и т. п. Поэтому в СанктПетербурге проводится комплекс экспериментальных исследований, направленных на решение этой задачи. При проведении исследований применены пьезорезисторные преобразователи давления и модульный регистр сигналов. Применение обратных клапанов с гидротормозом является более эффективной мерой борьбы с гидравлическими ударами по сравнению с плавным пуском и остановкой насосного агрегата. Гидравлические удары, возникающие при пуске насосных агрегатов при работе в сочетании с обратными клапанами без гидротормоза, могут превышать гидравлические удары, возникающие при их остановке.

The results of studies of water hammer arising in the operation of sewage pumping stations are presented. The studies were carried out at two stations of the same type in St. Petersburg. At present, there are no practical recommendations aimed at reducing the strength water hammer at sewage pumping stations including the choice of location, type of check valves, a combination of their joint operation with smooth start, etc. Therefore, a set of experimental studies is conducted in St. Petersburg aimed at the solution to this problem. During the research, piezoresistor pressure transducers and a modular signal register were used. The use of check valves with hydraulic brakes is a more effective measure to combat water hammers compared to the smooth start and halt of the pumping unit. Water hammers that occur at the startup of pumping units while operating in combination with check valves without hydraulic brakes can exceed water hammers that occur when they stop.
High Efficiency RF Energy Harvesting CNTFET Rectifier for Bio-implants Applications
Authors:   Department of Electrical Engineering, Jamia Millia Islamia, New Delhi, India, Khan* Munna , Khan* Mohd Tauheed ,   Department of Electrical Engineering, Jamia Millia Islamia, New Delhi, India,, Hasan Mohd. ,   Department of Electonics Engineering, Aligarh Muslim University, Aligarh,Uttar Pradesh, India
Published: November 2019

Carbon nanotube field effect transistor (CNTFET) based full wave rectifier given in the paper, works efficiently in the range of radio frequency. The CNTFET offers extremely less power loss and high through-put because of its high conducting properties. The Complementary Metal Oxide Semiconductor (CMOS) based studies are available but CNTFET based studies are rarely available. Therefore, CNTFET based rectifier has been used for the replacement of CMOS based rectifier architecture. The full wave rectifier circuit was analyzed using 32nm CNTFET Stanford model. An additional circuit of clampers is also used for introducing a negative DC level. Introduced negative DC signal further negated RF input signal and combined signal used for biasing the p type device during its conduction cycle. The CNTFET based rectifier with clamper circuit decreases the effective threshold voltage of switching p CNTFETs. The circuit resulted better RF input sensitivity of the transistor. Results show that 77.7% power conversion efficiency is suitable for powering up the bio-implantable devices.
Recognition of Dog Breeds using Convolutional Neural Network and Visual Geometry Group
Authors:   Computer Science, Srm Institute of Scince and Technology, Ramapuram campus, Chennai. India., Sharma Anant , Sahoo Anwesh ,   Computer Science, Srm Institute of Scince and Technology, Ramapuramcampus, Chennai. India., M Azhagiri ,   Computer Science, Srm Institute of Scince and Technology, Ramapuramcampus, Chennai. India., Dutta Diganta ,   Computer Science, Srm Institute of Scince and Technology, Ramapuramcampus, Chennai. India.
Published: November 2019

Due to excessive breeding or cross-breeding, the nature of an animal like a dog has varied a lot from years ago. Using Image processing for the breed analysis will predict the exact result/s with maximum accuracy, unlike naked eye recognition ADA boosting methodology is used for breed analysis and recognition. ADA Boosting creates a strong classifier from several weak classifiers. To separate the dog breeds from one another, we use Image processing classification. It predicts the predominant breed/s present in the canine with maximum accuracy. Since the dogs may be cross-breed or had cross-breed predecessors, they may have a variety of breeds present in them, so using Image processing Classification tools we find the correct breed/s. It will be essential for easy classification of the dogs based on breeds and it can provide proof that naked eye recognition of breeds is undependable or trivial. Using Image processing analysis, we can analyze and do recognition of various animals like sheep, cattle, etc.
Global Warming Prediction in India using Machine Learning
Authors:   Assistant Professor in SRM Institute of Science and Technology in Ramapuram, Chennai, (Tamil Nadu), India., Hema D. Deva , Pal Anirban ,   Department of Computer Science and Engineering, from SRM Institute of Science and Technology, Chennai, (Tamil Nadu), India., Loyer Vineet ,   Department of Computer Science and Engineering, from SRM Institute of Science and Technology, Chennai, (Tamil Nadu), India., Gaurav Rajeev ,   Department of Computer Science and Engineering, from SRM Institute of Science and Technology, Chennai, (Tamil Nadu), India.
Published: November 2019

Long term global warming prediction can be of major importance in various sectors like climate related studies, agricultural, energy, medical and many more. This paper evaluates the performance of several Machine Learning algorithm (Linear Regression, Multi-Regression tree, Support Vector Regression (SVR), lasso) in problem of annual global warming prediction, from previous measured values over India. The first challenge dwells on creating a reliable, efficient statistical reliable data model on large data set and accurately capture relationship between average annual temperature and potential factors such as concentration of carbon dioxide, methane, nitrous oxide. The data is predicted and forecasted by linear regression because it is obtaining the highest accuracy for greenhouse gases and temperature among all the technologies which can be used. It was also found that CO2 is the plays the role of major contributor temperature change, followed by CH4, then by N20. After seeing the analysed and predicted data of the greenhouse gases and temperature, the global warming can be reduced comparatively within few years. The reduction of global temperature can help the whole world because not only human but also different animals are suffering from the global temperature.
Network Intrusion Detection System using XG Boost
Authors:   Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India., Priya M. S. Siva , Sahu Bipin Kumar ,   Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India., Kumar Badal ,   Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India., Yadav Mayank ,   Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India.
Published: November 2019

Internet is the most widely used commodity throughout the world. Such widescale adoption of internet has resulted in drastic developments across various facets of life. Several studies indicate a surge in cybercrimes including incidents of personal privacy thefts. Network intrusion is any illegitimate and/or unidentified activity taking place over a network. So, an effective intrusion detection system is required to be developed. Through this paper, we propose an intrusion detection system that uses XG Boost algorithm to detect intrusions. To implement this approach, KDD-99 dataset has been used for inputs. This paper demonstrates that the efficiency and accuracy of intrusion detection system deployed using XG Boost algorithm is better than contemporary algorithms.
Face Recognition with OPENCV and Smart Shopping in Cloud Computing
Authors:   PG Scholar, M. Tech, Department of Computer Science and Engineering, GRIET,  Affiliated to JNTUH, Hyderabad, India., Kumar Katherashala Ajay , Sakthidharan Dr. G.R. ,   Professor of CSE, GRIET, Affiliated to JNTUH, Hyderabad, India.
Published: November 2019

The present data time targets digitizing data and executing effective, instinctive and easy to understand frameworks to unravel human life. Making a canny truck that deals with quick charging is a jump towards an advanced and totally computerized shopping knowledge. Buying thing in enormous supermarkets with a gigantic assortment of things is time taking procedure. It can be optimized through motorizing the charging framework. A shopping truck contains a versatile computational gadget (like raspberry pi) and a customized thing recognizable proof innovation (like the radio recurrence distinguishing proof innovation). Minute charging without long lines at counters and monitoring consumption constant are the two goals of this canny truck. This paper depends on building up a venture through the intend to lessen point in time used up on shopping of regular things and make the procedure less repetitive. Besides, it empowers the customers to use their point in time on other gainful and increasingly huge exercises.
Multiple Watermarking for Images using Back-Propagation Neural Network and DWT
Authors:   Division of Computer and Information Science, Annamalai University, Annamalainagar, India., Ananth C. , Karthikeyan M. ,   Division of Computer and Information Science, Annamalai University, Annamalainagar, India., Mohananthini N. ,   Department of Electrical and Electronics Engineering, Muthayammal Engineering College, Rasipuram, India., Saravanan S. ,   Department of Electrical and Electronics Engineering, Muthayammal Engineering College, Rasipuram, India., Swathisriranjani M. ,   Department of Electrical and Electronics Engineering, Muthayammal Engineering College, Rasipuram, India.
Published: November 2019

An effective multiple watermarking technique supported on neural network into the wavelet transform can be proposed. The wavelet coefficients has been preferred by Human Visual System. In the proposed work focus on Discrete Wavelet Transform based segmented image watermarking techniques using Back-Propagation neural networks. Using improved BPNN, the multiple watermarks are embedded into the original image, which can advance the pace of the learn, reduce the error and the qualified neural networks are extricate multiple watermarks as of the embedded images. The planned strategy achieves a excellent visual effect scheduled the watermarked images as well as high robustness on extracted multiple watermarks.
Ameliorated Methodology to Represent UML use Case Diagram into Table Format
Authors:   Prof. & Head, Dept. of Computer Science & Engineering BITM, Ballari, India., Kulkarni Dr. R. N. , Srinivasa C. K. ,   Associate Prof. Dept. of Computer Science & Engineering BITM, Ballari, India.
Published: November 2019

The UML is a defacto tool used by the software industry for designing the software system. The UML comprises 13 diagrams which are used to represent static and dynamic behavior of the system. The usecase is one of the UML diagram which is used to describe the interaction between the user and the system. In this paper, we are proposing an automated tool to translate the UML diagram and its artifacts into the text format and is represented in form of a table. This translation is carried out in two stages. 1: Converting the UML diagram into intermediate text form using generic tool called White Star UML. 2: The intermediate text is converted to table form using the tool proposed in this paper. The output achieved at the end of the second stage is further used for the abstraction of predicate logic.
Human Facial Emotion Recognition using Adaptive Sigmoidal Transfer Function in MLP Neural Network
Authors:   Department of Computer Science & Engineering, H.K.B.K College of Engineering, Bangalore, India., Unnisa Mrs. Ismath , R Dr. Loganathan ,   Department of Computer Science & Engineering, H.K.B.K College of Engineering, Bangalore, India.
Published: November 2019

The human face is very sensitive towards inner feelings particularly with different state of mind under various conditions. The facial expression has used in computer vision to understand the human response against stimuli. But the facial expression is also having the nature of variability and controllability hence its complete generalization from a computer vision point of view is very difficult and challenging, though acceptable performances can be achieved. In this paper, a two stage based facial expression recognition model which carry the Principal component analysis as a feature extractor in the first stage and self-adaptive based activation function in feedforward neural network as a classifier in the second stage have applied. Use of principal component analysis reduces the dimension of features while the adaptive slope of transfer function provides another parameter along with weights to change in making learning faster and accurate. Six most dominant state of facial emotion like angry, surprise, sadness, normal, happy and fear have considered in this paper and performances have been tested over variable expressions. The benefit of the proposed model of self-adaptive activation function has verified through the benchmark XOR problem classification.
The Effect of Website Quality Factors on Consumer Delightfulness and Purchase Intentions: Substantiation from Indian E-Tail Visitors
Authors:   Department of MBA, Adhiyamaan College of Engineering, Hosur, (Tamil Nadu), India., Kumar K. R. , Mohan Y. C. ,   Assistant Professor, MBA Department, Bapuji Institute of Engineering and Technology (BIET), Davangere, Karnataka., Susi S. ,   Department of MBA, Shadan Women’s College of Engineering & Technology, Hyderabad, Telangana, India., Jothikumar R. ,   Department of CSE, Shadan College of Engineering & Technology, Hyderabad, Telangana, India.
Published: November 2019

With the increasing attractiveness of on-line shopping and being the preeminent occupied nation inside the world, India is one among the primary on-line showcases as of now and is likely going to turn into the most significant market inside what’s to come. In that capacity, different examinations are committed to site quality and assessments. Investigation endeavours region unit, in any case, in need of understanding the use of web locales as to on-line benefactors conduct, especially Indian consumers. This examination created and by experimentation tried a unique model of the effect of site quality on customer realization and purchase aims. Results showed that site quality consolidates an immediate and positive effect on customer delightful, which customer accomplishment joins a positive effect on purchase intention.
Collapse Mechanism of Strong Column Weak Beam Buildings of Varying Heights
Authors:   M.Tech in sstructural engineering, Anurag Group Of Institutions, An Autonomous Instituion, Venkatpur, Ghatkesar, Medchal Dist-TS, India., Ali Irfani Mohd Moazzam , Vimala Dr. A. ,   Professor, Department of Civil Engineering, Anurag Group of Institutions, JNTUH, Hyderabad, India.
Published: November 2019

During past earthquakes column plastic hinges are more important than beam hinges which gives rise to global structural damage and high life threatening risk. All the structural components transfers their forces through column and then column shares it with foundation to soil, so u can imagine if column fails whole structure can collapse this is strong beam weak column concept. In this paper collapse mechanism of three buildings 5, 12 and 15 storey heights are investigated for strong column weak beam concept. The structure is designed for zone 5 and medium soil. The aim of this work is to determine the static non-linear performance of three buildings of varying heights, each storey height is 3m and each bay width is 5m, the width of the building in X and Y direction is 20m. The heights of the buildings are 15m, 36m and 45m. The parameters which are obtained from the analysis are base shear, displacement and hinge formations in the structure. The base shear and displacement of the structures increases with an increase in strong column weak beam concepts. The hinge formations in the low-rise building involved beam failures where as the hinge formation in mid-rise buildings involves mixed failure pattern involving beams and columns.