bluuebunny/crossref_metadata_2025 huggingface dataset:
Peningkatan Mutu dan Cara Produksi pada Industri Minuman Jahe Merah Instan di Desa Benteng, Ciampea, Bogor
Authors: Koswara Sutrisno , Diniari Astrid
Published: December 2017

Red ginger (Zingiber officinale var. Rubrum) have been processed into several foods and beverages, such as instant beverage, ginger candy, ginger pickle, ginger coffee, etc. This study aimed to study the optimum formulation of red ginger instant drinks and the most effective comparison of solubility with water, implement food security at household industry, and examine the financial aspects in the industrial of red ginger instant drinks at Benteng Village, Ciampea, Bogor. On determining the best formula, tested on 3 formula: formula with ratio sugar and red ginger 1:2 (A), 1:1 (B), and 1:3 (C). The yield of each formula was different which 66.33% ( formula A), 42.67% (formula B), and 69.33% (formula C). The best formula chosen is C because the materials used for the manufacture of the most economical and fast rehydration time. After following several processed of certification, the household industry of Jahe Gunung Leutik got the PIRT number as follow 61232010110099. Feasibility analysis also showed that the domestic industry was declared worthy of financial side. Based on the result of cost calculation of production of instant drink obtained that Rp 4.735.71. The result of instant drinks red ginger feasibility are NPV = Rp 917.725.03, gross B/C = 1.8244, net B/C = 3.8910, and IRR= 53%.
Pengembangan Program Inkubator Wirausaha Sosial di Kecamatan Cibungbulang, Kabupaten Bogor
Authors: Saleh Amiruddin , Sehabudin Ujang , Warcito .
Published: December 2017

The action research purposes are: 1) Studying the characteristics of entrepreneurs and business community members of the social entrepreneurial incubator; 2) Review the business partnership and business community through social business incubator; and 3) Increase the motivation for the business and the business community. This research approach is action research. This study uses a descriptive analysis of the target group and the entrepreneurs and business people in the Situ Udik and Cimanggu I Village Cibungbulang Subdistrict, Bogor District. Based on the results of the study showed that: 1) The characteristics of the micro small businessman at Posdaya dominated the productive age with a high school graduate, pick the dependents of 3-4 people; 2) Partnerships undertaken by Posdaya among others, the regional government through BKP5K Bogor, MT Farm, Dompet Dhuafa Livestock, P2MKP KKP, Koperasi Posdaya Indonesia (KPI), IPB, and BRI; and 3) Training and mentoring for small micro business focused on financial management training for families and businesses, packaging design training, mentoring, and technical assistance.
Kadar Kalsium pada Sapi Perah Penderita Mastitis Subklinis di Pasir Jambu, Ciwidey
Authors: Wulansari Retno , Palanisamy Sugunavathy , Pisestyani Herwin , Sudarwanto Mirnawati B , Atabany Afton
Published: December 2017

Kalsium merupakan makro mineral yang berperan sangat penting dalam metabolisme ternak sapi perah dan kekurangan kalsium dapat menjadi salah satu penyebab penyakit radang ambing. Penelitian bertujuan mengukur kadar kalsium darah sapi perah penderita mastitis subklinis. Sampel susu dan darah diambil dari 20 ekor sapi perah yang berasal dari peternakan rakyat Pasir Jambu, Ciwidey, Kabupaten Bandung Barat. Kadar kalsium darah diperiksa menggunakan metode Atomic Absorption Spectrofotometer (AAS), sedangkan sampel susu diperiksa untuk menentukan status mastitis subklinis berdasarkan jumlah sel somatik (JSS) dan uji mastitis IPB-1. Hasil pemeriksaan menunjukkan bahwa 11 dari 20 ekor sapi (55%) menderita mastitis subklinis dan 6 dari 11 ekor tersebut (54,5%) disertai hipokalsemia subklinis. Sapi penderita mastitis subklinis secara nyata memiliki jumlah sel somatik yang tinggi dan kadar kalsium cenderung rendah. Kadar kalsium dan jumlah sel somatik memengaruhi produksi susu sebesar 99% (R2= 0,99). Simpulan penelitian ini adalah sebagian besar sapi perah penderita mastitis subklinis disebabkan kondisi hipokalsemia subklinis serta mengalami penurunan produksi susu.
Kejadian Demam Berdarah Dengue di Kota Sukabumi Berdasarkan Kondisi Iklim
Authors: Hidayati Lisa , Hadi Upik Kesumawati , Soviana Susi
Published: December 2017

Demam berdarah dengue (BDB) adalah penyakit yang disebabkan oleh virus dari famili Flaviridae yang ditularkan oleh serangga (arthropod borne virus = arbovirus) melalui perantara utama nyamuk Aedes aegypti. Tujuan penelitian adalah untuk mengetahui hubungan antara faktor iklim dengan kejadian DBD di Kota Sukabumi. Data iklim merupakan data sekunder yang diperoleh dari Badan Klimatologi Meteorologi dan Geofisika wilayah II Dramaga. Sedangkan data kasus DBD diperoleh dari Dinas Kesehatan Kota Sukabumi. Data dianalisa menggunakan analisis correlation pearson product moment dan regresi linear sederhana. Hasil penelitian tentang faktor iklim menunjukkan bahwa ada hubungan antara suhu udara dengan kasus DBD di kota Sukabumi di tahun 2010-2015, tetapi tidak ada hubungan yang signifikan antara faktor iklim (curah hujan, dan kelembaban) dengan tingkat kejadian DBD karena data tidak dikumpulkan untuk jangka waktu yang cukup lama. Hasil ini dapat digunakan sebagai pertimbangan dalam program pengendalian masa depan untuk Ae. aegypti, karena bisa dilakukan untuk meramalkan waktu pengendalian dan manajemen pengendalian yang efektif.
Penentuan Patotipe Molekuler Virus Newcastle Disease: Isolat Lapang di Tiga Wilayah Kabupaten Jawa Timur
Authors: Kurnianingtyas Erin , Setiyaningsih Surachmi , Indrawati Agustin
Published: December 2017

Tujuan penelitian ini adalah mengkaji keberadaan dan karakteristik molekuler virus newcastle disease (VND) di tiga wilayah Kabupaten di Jawa Timur. Sampel usapan kloaka diambil dari 289 ekor unggas (262 ekor ayam dan 27 ekor bebek) pekarangan, pedagang di pasar unggas hidup, peternak, dan pengepul di wilayah Kabupaten Probolinggo, Situbondo, dan Bondowoso. Sampel usap kloaka ditumbuhkan pada telur ayam berembrio (TAB) dan deteksi virus dengan Real Time Reverse Transcription Polymerase Chain Reaction (rRT-PCR) matrix (M). Patogenisitas virus ditentukan melalui rRT-PCR Fusion (F) dan sekuen gen F. Sejumlah delapan isolat lapang VND yang didapat, semuanya mempunyai afinitas lebih tinggi dengan serum Komarov dibandingkan dengan B1. Hal tersebut sesuai dengan reaksi positif yang ditunjukkan oleh rRT-PCR F. Analisis sekuen nukleotida menegaskan adanya motif asam amino multibasic pada cleavage site protein F, terbukti dari enam isolat asal ayam dan satu isolat asal bebek memiliki motif 112RRQKRF117, sedangkan satu isolat asal bebek lainnya mempunyai motif112RRRKRF117.
Evaluasi Pertumbuhan dan Daya Hasil Empat Belas Cabai Hibrida
Authors: Widura Ritonga Arya , Syukur Muhamad , Sujiprihati Sriani , Rahman Hakim Arif
Published: December 2017

Planting chili pepper hybrid varieties offers an alternative strategy to fill the needs of chili pepper in Indonesia. Theaim of the experiment was to evaluate and select fourteen chili pepper hybrids thus obtained chili peppers hybrid potential to be released as hybrid varieties. The experimental design was used Randomized Complete Block Design (RCBD) with one factor and three replications. Plant materials consist of fourteen chili pepper hybrid and one commercial hybrid of chili pepper. IPB CH-I produced higher selection index value than commercial hybrid of chili pepper. The IPB CH-I was potential to be released as hybrid variety of chili pepper.Keywords: hybrid varieties, selection, selection index
Pendugaan Daya Gabung dan Nilai Heterosis Hasil Persilangan Half Diallel Cabai Rawit (Capsicum annuum L.)
Authors: Shinta Risty Oktaviana , Syukur Muhamad
Published: December 2017

The aim of this research was to study estimation general combining ability (GCA) and specific combining ability(SCA) of six bird pepper inbred lines (Capsicum annuum L.), heterosis and heterobeltiosis of fifteen bird pepper hybrids in half diallel crosses. The experiment were conducted from November 2013 to April 2014 using a Randomized Complete Block Design with three replications at Leuwikopo University Farm, IPB. Analysis of GCA and SCA were based on the Griffing’s model of diallel design method II. Heterosis values were predicted based on the average values of their parents and heterobeltiosis were predicted based on the average values of the highest parents. Genotype IPB C174 had the highest GCA for fruit weight, fruit length, fruit width, and yield for each plant. Hybrid IPB C160 x IPB C291 and IPB C291 x IPB C293 had positive SCA, heterosis, and heterobeltiosis values for some variable observed. Hybrid IPB C174 x IPB C291 had better advantages than the commercial varieties which were Santika, Bhaskara, Sonar, and Nirmala on fruit weight characters.Keywords: bird pepper, combining ability, half diallel, heterosis
Pendugaan Ragam Genetik dan Heritabilitas Karakter Hasil dan Komponen Hasil Tomat (Lycopersicum esculentum Mill.) di Dua Lokasi
Authors: Hermanto Rudy , Syukur Muhamad , . Widodo
Published: December 2017

ABSTRACTThe objective of the study was to determine the genetic variability and heritability for some characters of twenty tomato genotypes across at two locations. The experimental design used was Randomized Complete Block Design (RCBD), three replications as a block was nested in location (at two locations i.e Ciawi and Lembang). Plant materials were twenty genotypes: 42D, 50D, 96D, 61I, 40D, 21D, 59I, 57D, 40I, 102D, 58I, 59D, 94D, 43D, 60I, 99D, 100D, 98D, 04I dan Tora. Results indicated that time of harvest, fruit weight, number of fruit per plant, fruit length and fruit width had broad genetic variability. The characters of yield per plant and fruit firmness had narrow genetic variability. Broad-sense heritability was high for all observed characters. Genotype 42D can be used to develop high yielding tomato for small fruit size group, 59D and Tora for medium fruit size group, 97D and 94D for big fruit size group.Keywords: broad, fruit, genetic, narrow, size, twentyABSTRAKPenelitian ini bertujuan untuk mendapatkan informasi keragaman genetik dan heritabilitas karakter hasil dan komponen hasil tomat (Lycopersicum esculentum Mill.) di dua lokasi. Percobaan dilakukan dengan menggunakan Rancangan Kelompok Lengkap Teracak (RKLT) dua faktor dengan tiga ulangan. Ulangan tersarang dalam lokasi (dua lokasi yaitu Ciawi dan Lembang). Materi genetik yang digunakan adalah 20 galur murni generasi F-7 yaitu 42D, 50D, 96D, 61I, 40D, 21D, 59I, 57D, 40I, 102D, 58I, 59D, 94D, 43D, 60I, 99D, 100D, 98D, 04I dan Tora. Keragaman genetik yang luas terdapat pada karakter umur panen, bobot buah, jumlah buah per tanaman, panjang buah dan diameter buah, sedangkan keragaman genetik sempit terdapat pada karakter bobot buah per tanaman dan kekerasan buah. Semua karakter yang diamati mempunyai nilai heritabilitas arti luas yang tinggi. Genotipe 42D dapat digunakan untuk mengembangkan varietas tomat berdaya hasil tinggi untuk kelompok ukuran buah kecil. Genotipe 59D dan Tora untuk kelompok ukuran buah sedang dan genotipe 97D dan 94D untuk kelompok ukuran buah besar.Kata kunci: buah, dua puluh, genetik, luas, sempit, ukuran
FAKTOR-FAKTOR YANG MEMPENGARUHI KINERJA PEMBANGUNAN PERIKANAN: STUDI KASUS PADA PERIKANAN TANGKAP DI INDRAMAYU (Factors affecting the performance of fisheries development: A case study of capture fisheries in Indramayu)
Authors: Wiyono Eko Sri , Mustaruddin .
Published: December 2017

ABSTRACTVarious policies of fisheries development have been implemented by Indonesian government. However, they have not reached the expected results. Until now the policy/program of empowerment has not been able to significantly increase fishermen income and welfare. Fishermen are still poor and underdeveloped compared to other community groups. Therefore, some corrective measures are needed to improve programs/policies that have been implemented over the years. To get the answer, a study that examines factors affect the success of a fisheries policy is conducted in Indramayu, West Java. By using analysis of Structural Equation Modelling (SEM), the research defines that fisheries institutions factor significantly led to the success of fisheries development.Keywords: fisherman, Indramayu, capture fisheries, SEM-------ABSTRAKBerbagai upaya pembangunan perikanan tangkap sudah dilakukan pemerintah. Namun demikian, hasil pembangunan perikanan tersebut belum membuahkan hasil seperti yang diharapkan. Sampai saat ini kebijakan/program pemberdayaan belum secara signifikan meningkatkan pendapatan dan kesejahteraan nelayan. Nelayan masih dalam kondisi miskin dan terbelakang dibandingkan kelompok masyarakat lainnya. Oleh sebab itu, diperlukan langkah-langkah untuk memperbaiki program/kebijakan yang telah dilaksanakan selama ini. Untuk mendapatkan jawabannya, telah dilakukan suatu kajian faktor-faktor yang mempengaruhi tingkat keberhasilan suatu kebijakan pembangunan perikanan tangkap di Indramayu, Jawa Barat. Tujuan penelitian ini adalah mengkaji faktor-faktor yang mempengaruhi keberhasilan pembangunan perikanan di Indramayu. Analisis Structural Equation Modelling (SEM) telah diperoleh hasil bahwa faktor (variabel utama) yang mempengaruhi keberhasilan pembangunan perikanan tangkap adalah kelembagaan. Berdasarkan hal tersebut, pelaksanaan kebijakan perikanan selanjutnya perlu menempatkan aspek kelembagaan sebagai faktor yang penting dilakukan.Kata kunci: Indramayu, nelayan, perikanan tangkap, SEM
Strategi Manajemen Konflik Sebagai Upaya Meningkatkan Kinerja Teamwork Tenaga Kependidikan
Authors: Wartini Sri
Published: December 2017

The purpose of this research is to explain influence of conflict management strategy on teamwork performance. This kind of conflict can happen to everyone and in any places disregarding status, income and position. Someone who can not manage conflicts will have a threat for his personal performance, and unfortunately, company’s performance will also gain the effect. Accordingly, we need a strategy to manage  conflicts as an effort to create a good performance for individual employee performance as well as tha team performance. The population af this research is the entire educational employees in UNNES by taking some samples using propotional sampling to around 88 samples. The result of this research  proves that hypothesis stating “conflict management strategy” influenced positively and significantly on teamwork performance is accepted. This explains that conflict management strategy can give contribution to the teamwork performance through employee’s ability to accomodate ideas from partners of work, avoid disputes by respecting each other, maintaining communication and conduct colaboration on working methods. It is suggested that this research should improve strategies in managing conflicts such as strategies to compete at work by giving chance to other partner to use theirs skill in making decision and finding solution to solve the job.
Keywords: conflict management strategy, teamwork’s performance, educational employee
“Dialogue in Monologue”: Addressing Darwish in Hebrew
Authors: Kenan Yael
Published: December 2017

Mahmoud Darwish is considered the national Palestinian poet, a symbol of the national struggle against the Israeli occupation. Sami Shalom Chetrit and Almog Behar, two prominent Israeli poets of Arab decent (Chetrit was born in Morocco; Behar’s family is from Iraq), have both written poems directed to Darwish in which they address both his vast poetic corpus and his public and political figure. Close reading these poetic addresses, I discuss Darwish’s own poetry as an intertext in these Hebrew poems, as well as the significance of writing about him and to him in Hebrew and in Israel, specifically by poets of Arab descent. Moreover, this discussion serves as an opportunity to read Hebrew and Arabic together, challenging the clear-cut national distinctions while still acknowledging their pervasiveness and the inevitable questions of power, as the poems do themselves.
Chamoiseau’s Literary Creolization: The Stylistic Potential of a Vernacular
Authors: Mazur Mandy
Published: December 2017

In his novels and theoretical works, Martiniquan writer Édouard Glissant favors a process of creolization that entails a creative mixing of languages rather than a reinforcement of linguistic hierarchical binaries. For Glissant, creolization does not produce direct synthesis but resultants, a sort of polylingualism within. Patrick Chamoiseau, Glissant’s protégé, also seeks to bridge the gap between standard and nonstandard language through a stylized hybrid. Intended to be self-glossing, the work of Chamoiseau is infused with Creole in sophisticated, didactic ways so as not to alienate the uninitiated reader. In this way, Chamoiseau solicits readers’ active participation in his display of the literary beauty and inventiveness of Creole and, thus, ultimately portrays the vernacular not as an inferior form of speech or simply as other but rather as a language capable of being elevated above standard French. Moreover, Chamoiseau upends traditional methods of incorporating nonstandard language in literary texts by treating the standard form of language as if it were a dialect or patois. Not only does standard French appear in italics, but the intonations of stilted, conventional academic speak are typographically represented in a way that parodies pejorative, humorous representations of the vernacular and other forms of marginalized language. By focusing primarily on diglossic situations involving French and Creole in the works of Chamoiseau, this article explores the ways in which “creolization”—the stylistic representation of a nonstandard form of language—captures the becoming of all languages through its celebration of relational interactions and distinctiveness rather than isolation and hegemony.
Erfolgsfaktor Störungsmanagement
Authors: Brehm Nadine , Aksoy Oguzhan , Wellbrock Wanja
Published: December 2017

Kurzfassung

Die hohe Komplexität in Organisation und Technik sowie der Abbau von Zeit- und Bestandspuffern im Rahmen einer schlanken Produktion führen zu einer steigenden Störanfälligkeit der betrieblichen Abläufe. Eine vollkommene Prozessstabilität ist daher unter ökonomischen Aspekten nicht mehr zu garantieren. Mit dem vorliegenden Reifegradmodell wird ein Analyseinstrumentarium vorgestellt, das die Erfolgsfaktoren im Störungsmanagement aus Sicht der Wissenschaft und Praxis abbildet und damit die Basis für ein branchenübergreifendes Benchmarking schafft.*)
Virtual Analog Models of the Lockhart and Serge Wavefolders
Authors: Esqueda Fabián , Pöntynen Henri , Parker Julian , Bilbao Stefan
Published: December 2017

Wavefolders are a particular class of nonlinear waveshaping circuits, and a staple of the “West Coast” tradition of analog sound synthesis. In this paper, we present analyses of two popular wavefolding circuits—the Lockhart and Serge wavefolders—and show that they achieve a very similar audio effect. We digitally model the input–output relationship of both circuits using the Lambert-W function, and examine their time- and frequency-domain behavior. To ameliorate the issue of aliasing distortion introduced by the nonlinear nature of wavefolding, we propose the use of the first-order antiderivative method. This method allows us to implement the proposed digital models in real-time without having to resort to high oversampling factors. The practical synthesis usage of both circuits is discussed by considering the case of multiple wavefolder stages arranged in series.
Integrated Model of Image Protection Techniques
Authors: Aryal Anu , Imaizumi Shoko , Horiuchi Takahiko , Kiya Hitoshi
Published: December 2017

We propose an integrated model of Block-Permutation-Based Encryption (BPBE) and Reversible Data Hiding (RDH). The BPBE scheme involves four processes for encryption, namely block scrambling, block-rotation/inversion, negative-positive transformation and the color component shuffling. A Histogram Shifting (HS) method is adopted for RDH in our model. The proposed scheme can be well suitable for the hierarchical access control system, where the data can be accessed with the different access rights. This scheme encrypts R, G and B components independently. Therefore, we can generate similar output images from different input images. Additionally, the key derivation scheme also provides the security according to the different access rights. Our scheme is also resilient against brute-force attacks and Jigsaw Puzzle Solvers (JPSs). Furthermore, the compression performance is also not severely degraded using a standard lossless compression method.
Zno Micro/Nanostructures Grown on Sapphire Substrates Using Low-Temperature Vapor-Trapped Thermal Chemical Vapor Deposition: Structural and Optical Properties
Authors: Hu Po-Sheng , Wu Cheng-En , Chen Guan-Lin
Published: December 2017

In this research, the Zn(C5H7O2)2·xH2O-based growth of ZnO micro/nanostructures in a low temperature, vapor-trapped chemical vapor deposition system was attempted to optimize structural and optical properties for potential biomedical applications. By trapping in-flow gas molecules and Zinc vapor inside a chamber tube by partially obstructing a chamber outlet, a high pressure condition can be achieved, and this experimental setup has the advantages of ease of synthesis, being a low temperature process, and cost effectiveness. Empirically, the growth process proceeded under a chamber condition of an atmospheric pressure of 730 torr, a controlled volume flow rate of input gas, N2/O2, of 500/500 Standard Cubic Centimeters per Minute (SCCM), and a designated oven temperature of 500 °C. Specifically, the dependence of structural and optical properties of the structures on growth duration and spatially dependent temperature were investigated utilizing scanning electron microscopy, X-ray diffraction (XRD), photoluminescence (PL), and ultraviolet-visible transmission spectroscopy. The experimental results indicate that the grown thin film observed with hexagonal structures and higher structural uniformity enables more prominent structural and optical signatures. XRD spectra present the dominant peaks along crystal planes of (002) and (101) as the main direction of crystallization. In addition, while the structures excited with laser wavelength of 325 nm emit a signature radiation around 380 nm, an ultraviolet lamp with a wavelength of 254 nm revealed distinctive photoluminescence peaks at 363.96 nm and 403.52 nm, elucidating different degrees of structural correlation as functions of growth duration and the spatial gradient of temperature. Transmittance spectra of the structures illustrate typical variation in the wavelength range of 200 nm to 400 nm, and its structural correlation is less significant when compared with PL.
Time-Continuous Hemispherical Urban Surface Temperatures
Authors: Allen Michael , Voogt James , Christen Andreas
Published: December 2017

Traditional methods for remote sensing of urban surface temperatures (Tsurf) are subject to a suite of temporal and geometric biases. The effect of these biases on our ability to characterize the true geometric and temporal nature of urban Tsurf is currently unknown, but is certainly nontrivial. To quantify and overcome these biases, we present a method to retrieve time-continuous hemispherical radiometric urban Tsurf (Them, r) from broadband upwelling longwave radiation measured via pyrgeometer. By sampling the surface hemispherically, this measure is postulated to be more representative of the complex, three-dimensional structure of the urban surface than those from traditional remote sensors that usually have a narrow nadir or oblique viewing angle. The method uses a sensor view model in conjunction with a radiative transfer code to correct for atmospheric effects in three-dimensions using in situ profiles of air temperature and humidity along with information about surface structure. A practical parameterization is also included. Using the method, an eight-month climatology of Them, r is retrieved for Basel, Switzerland. Results show the importance of a robust, geometrically representative atmospheric correction routine to remove confounding atmospheric effects and to foster inter-site, inter-method, and inter-instrument comparison. In addition, over a month-long summertime intensive observation period, Them, r was compared to Tsurf retrieved from nadir (Tplan) and complete (Tcomp) perspectives of the surface. Large differences were observed between Tcomp, Them, r, and Tplan, with differences between Tplan and Tcomp of up to 8 K under clear-sky viewing conditions, which are the cases when satellite-based observations are available. In general, Them, r provides a better approximation to Tcomp than Tplan, particularly under clear-sky conditions. The magnitude of differences in remote sensed Tsurf based on sensor-surface-sun geometry varies significantly based on time of day and synoptic conditions and prompts further investigation of methodological and instrument bias in remote sensed urban surface temperature records.
EVALUATION OF MASS HOUSING SETTLEMENTS IN TERMS OF WIND AND NOISE CONTROL: ISTANBUL AND DIYARBAKIR AS A CASE
Authors: ZORER GEDİK Gülay , YÜĞRÜK AKDAĞ Neşe , KİRAZ Fatih , ŞENER Bekir , ÇAÇAN Raşide
Published: December 2017

In mass housing apartments, the comfort and quality of living conditions may be adversely affected by wind and noise especially on balconies, terraces, gardens and around swimming pools etc. The quantitative and empirical testing of building models according to physical conditions with regard to wind and noise parameters directly affects the formation of buildings in the design process. In this paper, two cities (Istanbul and Diyabakır), which are selected from two different climatic zones in Turkey are considered as examples to create maximum comfortable usage areas depending on wind and noise effects. For mass housing settlement scenarios, common comfortable areas in terms of wind and noise were determined by using Urbawind and soundplan softwares. The relevant data and acceptance criteria related to wind and noise and applied procedure are presented in the work. Performed studies show, if the settlements have dominant wind and noise directions, it is possible to find solutions using the geometric properties of the settlement in terms of wind and noise. In general, better comfort results appear in alternatives with L-C-U shaped design features rather than point-type and linear block layouts.
PRODUCTIVITY INDEX MODELING OF ASMARI RESERVOIR ROCK USING GEOSTATISTICAL AND NEURAL NETWORKS METHODS (SW IRAN)
Authors: AMANIPOOR Hakimeh
Published: December 2017

In this study, productivity index in a carbonate reservoir was predicted using Artificial Neural Networks and geostatistical method. At first, about 518 data of productivity index based on locations of the wellbores were used for modeling and then 40 data were used for investigating the accuracy of the models. Then, the result of ANN was compared with the output of geostatistical modeling. The study shows that pro­ductivity index could be estimated with these methods with accepted accuracy. In addition, both modeling have almost the same result. However, accuracy of the geostatistical model by taking into account the spatial structure, is higher than that of neural network.
THE PROBLEMS OF SPATIAL ORDERING AND TAXATION OF AGRICULTURAL LANDS
Authors: MALASHEVSKYI Mykola , KUZIN Nataliia , PALAMAR Alena , MALANCHUK Mariia
Published: December 2017

The problem of rationalizing the use of agricultural land is increasingly complicated in Ukraine. Today it has various aspects, the most important of which are technological, economic, organizational and environmental. That is why the level of use of land in Ukraine is now so critical that further land degradation potential in agriculture can have disastrous consequences.

The objective of this paper is to study the economic effects of agricultural land use on example of Kyiv city. It is revealed that the problem of rational use and protection of agricultural land in Ukraine is deteriorating year by year. In today’s conditions, this manifests itself in various directions, among which, in our opinion, the deterioration of the ecological state as a result of irrational use.

On examples of land plots of the Kyiv city, the procedure for calculating the normative monetary valuation of agricultural land as one of the main instruments for accompanying capital transactions has been considered. The information on the weak and strong sides of the objects of evaluation is shown, which allows to evaluate the effectiveness of its functioning, current, past and future costs and incomes, as well as development prospects, which as a result serves as the basis for making effective management decisions on the valuation object.

According to the research results, which consists in changing the agricultural land purpose in Kyiv city, it was ascertained that the normative monetary valuation of these lands will increase over 6 billion UAH.
HEK. VI. On the Dearth of Galilean Analogs in Kepler, and the Exomoon Candidate Kepler-1625b I
Authors: Teachey A. , Kipping D. M. , Schmitt A. R.
Published: December 2017

Exomoons represent an outstanding challenge in modern astronomy, with the potential to provide rich insights into planet formation theory and habitability. In this work, we stack the phase-folded transits of 284 viable moon hosting Kepler planetary candidates, in order to search for satellites. These planets range from Earth- to Jupiter-sized and from ∼0.1 to 1.0 au in separation—so-called “warm” planets. Our data processing includes two-pass harmonic detrending, transit timing variations, model selection, and careful data quality vetting to produce a grand light curve with an rms of 5.1 ppm. We find that the occurrence rate of Galilean analog moon systems for planets orbiting between ∼0.1 and 1.0 au can be constrained to be

to 95% confidence for the 284 KOIs considered, with a 68.3% confidence interval of

. A single-moon model of variable size and separation locates a slight preference for a population of short-period moons with radii ∼0.5 R
⊕ orbiting at 5–10 planetary radii. However, we stress that the low Bayes factor of just 2 in this region means it should be treated as no more than a hint at this time. Splitting our data into various physically motivated subsets reveals no strong signal. The dearth of Galilean analogs around warm planets places the first strong constraint on exomoon formation models to date. Finally, we report evidence for an exomoon candidate Kepler-1625b I, which we briefly describe ahead of scheduled observations of the target with the Hubble Space Telescope.
Analysis of the Development Situation and Forecasting of Development of Emergency Situations in Socio-Technical Systems
Authors: Sikirda Yuliya , Shmelova Tetiana
Published: December 2017

In this chapter, socio-technical analysis of Air Navigation System (ANS) has hold in the result of which the heterogeneous factors of professional and non-professional activities influencing on the decision-making (DM) of ANS's human-operator (Н-О) in expected and unexpected aircraft's (АС) operating conditions have classified, systematically compiled and formalized. The method of generalization of heterogeneous factors, which allows taking into account the structural hierarchy, heterogeneity, dynamic instability of factors of professional and non-professional activity influencing on the ANS's H-O DM has developed, the conditions for their evaluation have determined. The vector of actions of the ANS's H-O in the expected and unexpected AC operating conditions, taking into account the model of the operator's behaviour, has considered. The authors have obtained the models of bipolar choice of operator of Socio-Technical System (STS) for using of reflexion theory and Markov network. They present the results of choosing in the direction of positive, negative pole, a mixed choice and forecasting of development of the situation. The authors demonstrate the methodology for analysis of flight situation development using GERT's and Markov's networks.
Intelligent Expert Decision Support Systems
Authors: Salem Abdel-Badeeh M. , Shmelova Tetiana
Published: December 2017

In this chapter, the authors present Intelligent Expert Decision Support Systems (IEDSSs) technology and conceptual models of Expert systems(ES) for Human-Operator (H-O) of different areas and Air Navigation System (ANS) too. The authors demonstrate some interesting applications of IEDSS. Intelligent Expert Decision Support Systems technology is a challenging field that has witnessed great advances in the last few years. Artificial intelligence (AI) theories and approaches receive increasing attention within this emerging technology .Researchers have been used the AI concepts and theories to develop a robust generation of IEDSSs. Moreover, the convergence of AI technologies and web technologies (WT) is enabling the creation of a new generation of web-based IEDSSs for all domains and tasks. This chapter discusses the AI methodologies and techniques for developing the IEDSSs. Two most popular paradigms are discussed namely; case-based reasoning and ontological engineering. Moreover, the chapter addresses the challenges faced by the application developers and knowledge engineers in developing and deploying AI-based expert decision support systems. In addition, the chapter presents some examples of ES by the author and colleagues at National Aviation University, Ukraine and some cases of IEDSSs developed by the author and his colleagues at Artificial intelligence and Knowledge Engineering Research Labs, Ain Shams University, AIKE Labs-ASU, Cairo, Egypt.
Current and Emerging Tools for Flexible Remote Learning
Authors: Mosawy Sapha
Published: December 2017

Distance learning is becoming increasingly common in the higher education sector. Student flexibility and inability of students to access education in remote regions are the main drivers of remote learning. There are many tools available that enable remote learning to reach geographically isolated and remote students as well as to provide extra flexibility to local students. This chapter explores current and emerging tools for flexible remote learning. Specifically, this chapter looks at current and new tools used in remote learning as effective tools for university students as well as graduate continuing learning. The tools, benefits, and models of remote learning are discussed. The objective of the chapter is to discuss the current and emerging tools in remote learning and its importance in emerging technologies and work-integrated learning in allied health.
Advances in Theoretical Studies on Solid Catalysts for Renewable Energy Production
Authors: Añez Rafael , Sierraalta Anibal
Published: December 2017

This chapter presents a brief review of the recent applications of the quantum chemical calculations in the catalysis for renewable energy production. In this, an introductory vision about the use of ab initio calculations in the field of the renewable energies is presented. It is worth mentioning that the quantum chemistry field is an extensive area with many methodologies and theoretical approaches; therefore, to shed some light on the application of this area on the catalysis for renewable energy production, the chapter is divide into two sections according to the employed theoretical approximation, that is, the cluster model approach and the periodic approach. The first section describes the cluster model approximation, followed by a discussion of recent works in hydrogen storage, biodiesel and methanol conversion fields, and the second section describes the basic principles of the periodic approximation, basis set used in this approximation, and illustrative examples in the catalysts for biodiesel production; reforming of methane and hydrogen storage are presented at the end of this section.
Burst Pipes and Leaky Roofs
Authors: Chaudron Gerald
Published: December 2017

Libraries can face different kinds of emergency but planning for every contingency is an immense challenge. Overwhelmed with books and articles that focus mainly on the catastrophic events, librarians tend to place more emphasis on managing the risk of hurricanes and floods leaving then underprepared for the more mundane and common emergencies like burst pipes and leaky roofs. This chapter uses two case studies of small water emergencies to examine how each library managed those emergencies and what lessons were learned. They show that while both incidents were water-related, they were very different in terms of source, size, impact, recovery time, and frequency. Libraries should be planning for small disasters first, and then scaling up preparation to account for the larger events, rather than the reverse. More libraries may do such planning if they are preparing for a probable scenario rather than one that is only a possibility.
Perils of Lending Rare Book and Archival Materials for Exhibition
Authors: Gibbons Patti
Published: December 2017

As an outreach strategy, libraries and archives lend rare book and primary source materials to cultural heritage institutions for exhibitions, making significant holdings and collection materials available more widely to new audiences for viewing, research, and study. These texts, manuscripts, and archival documents are often highly valuable, historically significant, and irreplaceable. By identifying, evaluating, and addressing risks present during loans, lenders minimize exposure and potential losses of these valuable cultural heritage materials. This chapter examines specific ways lenders can recognize and assess risks presented during an exhibition loan and helps institutions better protect their important holdings and prevent detrimental losses to culturally significant materials.
Complex Interdependency of IT Security Risk in B2B Supply Chain
Authors: Bandyopadhyay Tridib
Published: December 2017

Managers often decide to integrate supply chains of collaborating firms. Whether such decisions are for competitive posture, cost saving or operational efficiencies, it is important to understand that supply chains integrate not only the flow of goods but also the information processes and assets and more often than not, the IT networks of the firms. Thus two developments occur. First, IT security losses of one firm collocate at the other firm's servers as information assets like demand forecasts are shared. Second, the Intranets of both firms get connected with the help of VPN or similar technologies, making it possible that a breach can travel from one firm to the other. This in turn makes IT security risks of SC firms strategically interdependent. This chapter analyzes such interdependent IT security risks and provides insights for SC and IT managers who are poised to collaborate with other downstream or upstream partner firms.
Uncovering Data for Decision Making With Critical Statistical Analysis
Authors: Roychowdhury Soma , Bhattacharya Debasis
Published: December 2017

Every field of study generates a huge amount of data. The volume of data generated leads to information overload, and the ability to make sense of all these data is becoming increasingly important. This requires a good understanding of the data to be analyzed and different statistical techniques to be used in that context. On the basis of the issues important to the data set as well as other practical considerations, it is necessary to select appropriate methods to apply to the problem under study. This work focuses on different issues arising in the context of data analysis which need attention like understanding classifications of data, magnitude of errors in measurement, missing observations in the data set, outlier observations and their influences on the conclusion derived from the data, non-normal data, meta analysis, etc. In the process of discussion some examples have been included to illustrate how critical a data analysis procedure could be in order to make a meaningful decision from a data set.
Application of Statistics in HR Research
Authors: Bhattacharyya Dipak Kumar
Published: December 2017

Application of statistics in HR research has been briefly explained in our introductory chapter. It is now acknowledged, with statistics, we can ensure our HR research is more effective. Such research results can also help to take critical HR decisions at organization level. In this chapter, we have discussed on application of statistics in HR research in two critical areas, i.e., human resource planning (HRP) and performance management. Both in HRP and performance management, we can make extensive use of various mathematical, econometric, and statistical tools. Also, we have many established models. However, here our focus is restricted to only some of the simple statistical tools that can help in research in this two-critical human resource management areas. As the purpose of this chapter is to explain use of statistics in two major areas of HR research, it will cover only some selected areas of application. At the outset focus is on the specific research nitty-gritty, as these may help prospective researchers to get their basics clear, before they proceed for research in HRP and performance management areas.
IPv6-Based IoT Smart Cities
Authors: Gadgil Aashish
Published: December 2017

In the process of Internet evolution, the transition from IPv4 to IPv6 has become inevitable and fairly urgent. IANA (Internet Assigned Numbers Authority) has finally exhausted the global IPv4 address space, which leaves the community no choice but pushes forward the IPv6 transition process. IPv4 and IPv6 networks both will exist during the transition period, while the two are not compatible in nature. Therefore, it is indispensable to maintain the availability, as well as to provide the inter-communication ability of IPv4 and IPv6. Years ago, a series of transition techniques were actually proposed. However, because of their technical immatureness, they failed to cover the solution space well. Some of these techniques were even obsoleted by IETF due to their flaws.
Security Issues and Challenges Related to Big Data
Authors: Undavia Jaimin N. , Patel Atul , Patel Sheenal
Published: December 2017

Availability of huge amount of data has opened up a new area and challenge to analyze these data. Analysis of these data become essential for each organization and these analyses may yield some useful information for their future prospectus. To store, manage and analyze such huge amount of data traditional database systems are not adequate and not capable also, so new data term is introduced – “Big Data”. This term refers to huge amount of data which are used for analytical purpose and future prediction or forecasting. Big Data may consist of combination of structured, semi structured or unstructured data and managing such data is a big challenge in current time. Such heterogeneous data is required to maintained in very secured and specific way. In this chapter, we have tried to identify such challenges and issues and also tried to resolve it with specific tools.
Secured Optimal Cost Approach for Bimodal Deep Face Recognition in IoT and Its Applications
Authors: Gudavalli Madhavi , P Vidaysree , Raju S Viswanadha , Borra Surekha
Published: December 2017

This chapter proposes an optimal cost security approach for the current and emerging trends in the Engineering centric IoT applications that offer an optimized infrastructure and human safety through bimodal deep face recognition. Human face determines the person identity that reveals information like age, gender, emotions, attractiveness and others. Face recognition attracted researchers to enhance its performance because of its potential usage in several commercial, law enforcement, government and video surveillance applications in which individuals perceive each other. In this chapter, authors propose a new secured optimal cost approach for deep face recognition based on feature level fusion of bi-features extracted through unsupervised deep learner, Autoencoder and Local Binary Patterns (LBP) respectively. The dimensionality of fused feature map is reduced and protected through Forward Error Correction (FEC) technique. An efficient optimal cost region matcher (OCRM) is accomplished with Canny edge detector to maximize the face recognition accuracy. OCRM uses north-west corner rule of the transportation problem that fulfills the Monge property. The experimental results demonstrate the superiority of the proposed face recognition system over unimodal systems (Autoencoder and LBP alone) when tested on ORL and Real face datasets with OCRM matcher which is interfaced through diverse IoT applications.
Usage and Analysis of Big Data in E-Health Domain
Authors: Mishra Sushruta , Tripathy Hrudaya Kumar , Mishra Brojo Kishore , Sahoo Soumya
Published: December 2017

Big data analytics is a growth area with the potential to provide useful insight in healthcare. Big Data can unify all patient related data to get a 360-degree view of the patient to analyze and predict outcomes. It can improve clinical practices, new drug development and health care financing process. It offers a lot of benefits such as early disease detection, fraud detection and better healthcare quality and efficiency. This chapter introduces the Big Data concept and characteristics, health care data and some major issues of Big Data. These issues include Big Data benefits, its applications and opportunities in medical areas and health care. Methods and technology progress about Big Data are presented in this study. Big Data challenges in medical applications and health care are also discussed. While many dimensions of big data still present issues in its use and adoption, such as managing the volume, variety, velocity, veracity, and value, the accuracy, integrity, and semantic interpretation are of greater concern in clinical application.
Exploration of Healthcare Using Data Mining Techniques
Authors: Desarkar Anindita , Das Ajanta
Published: December 2017

Huge amount of data is generated from Healthcare transactions where data are complex, voluminous and heterogeneous in nature. This large dataset can be used as an ideal store which can be analyzed for knowledge discovery as well as various future predictions. So, Data mining is becoming increasingly popular as it offers set of innovative tools and techniques to handle this kind of data set whereas traditional methods have limitations for that. In summary, providing the better patient care and reduction in healthcare cost are two major goals of application of data mining in healthcare. Initially, this chapter explores on the various types of eHealth data and its characteristics. Subsequently it explores various domains in healthcare sector and shows how data mining plays a major role in those domains. Finally, it describes few common data mining techniques and their applications in eHealth domain.
Single Tooth Gear Bending Fatigue Test
Authors:   Metals Technical Committee
Published: December 2017

This SAE Recommended Practice defines the set-up and procedure for conducting the SAE Single Tooth Bending Fatigue Test. The details of the test fixture to be used (referred henceforth as “the test fixture” in this document) and gear test sample and the procedures for testing and analyzing the data are presented in this document.
Electroplate Requirements for Decorative Chromium Deposits on Zinc Base Materials Used for Exterior Ornamentation
Authors:   Metals Technical Committee
Published: December 2017

This SAE Standard covers the physical and performance requirements for electrodeposited copper, nickel, and chromium deposits on exterior ornamentation fabricated from die cast zinc alloys (SAE J468 alloys 903 and 925), and wrought zinc strip (ASTM B 69). This type of coating is designed to provide a high degree of corrosion resistance for automotive, truck, marine, and farm usage where a bright, decorative finish is desired.