Cognitive analysis of the (Bingol Anti Terror Police Department) BATPD Buddy Program

Buddy programs help newcomers to smooth transition. The programs also try to increase the performance of the new personnel, give them a moral support and provide a proper atmosphere. This study aims to figure out the deficiencies of the buddy program implemented in Bingol Anti-Terror Police Department (BATPD) and try to develop effective solutions for the program’s shortages. Thus, the newcomers are able to adapt to the organization in the fastest way without losing time and energy. In this study, the researcher applied observations and interviews to measure the effectiveness of the program. The participants were selected all of the newcomers who joined the organization in 2012. Data collection process took almost 12 months. According to results of the research, insufficient physical conditions of the unit, multitasking character of the personnel, and incompetent buddies are three reasons that hinder the program from being more successful. Training programs for buddies, focusing on one task at the one time, and more comfortable designed atmosphere in the organization are potential solutions for a better program

An Environmentally Conscious Multi-Objective Weber Problem for Green Location and Distribution Planning: A Fuzzy Weighted Additive Approach

In this study, a multi-objective Weber (p-median) problem is treated in order to determine the location of the warehouses to be opened and the distribution plans of products. The company carries out the distribution with three types of vehicles differing in unit transportation cost, carbon emission and velocity. Three conflicting objectives are aimed to be minimized, i.e.; the demand weighted total transportation cost, the total delivery time and the total carbon. We adopted a fuzzy weighted additive approach to deal with the multi-objective optimization function, in which the weights of each individual objective function are determined by Analytic Hierarchy Process

An Environmentally Conscious Multi-Objective Weber Problem for Green Location and Distribution Planning: A Fuzzy Weighted Additive Approach

In this study, a multi-objective Weber (p-median) problem is treated in order to determine the location of the warehouses to be opened and the distribution plans of products. The company carries out the distribution with three types of vehicles differing in unit transportation cost, carbon emission and velocity. Three conflicting objectives are aimed to be minimized, i.e.; the demand weighted total transportation cost, the total delivery time and the total carbon. We adopted a fuzzy weighted additive approach to deal with the multi-objective optimization function, in which the weights of each individual objective function are determined by Analytic Hierarchy Process

Hassas Tarımda Koordinat Belirleme Sistemleri ve CORS-TR

Hassas tarım toprak, bitki ve üründeki değişkenliklerin saptanması, bu değişkenlikleri dikkate alarak üretim planlamasının yapılması, ve değişken düzeyli girdi uygulaması olarak bilinmektedir. Hassas tarımdaki çeşitli değişkenlik tanımlamaları arasında en önemlisi konuma bağlı olarak saptanan yersel değişkenliktir. Toprak, bitki ve üründeki değişkenlikler saptanırken en önemli araçlardan birisi de GPS ve konum belirlemedir. Gerek topraktaki tekstür veya bitki besin elementlerindeki değişkenlik ve gerekse verim haritalamada yada gübre yada ilaç uygulama haritalarının hazırlanmasında ve sonrasında tarlada uygulama sırasında konum belirleme hayatidir. Konum belirlemedeki doğruluk ve hassasiyet hassas tarımda yapılacak uygulamaları doğrudan etkilemektedir. Bu çalışmada hassas tarımda kullanılan el tipi GPS, DGPS, RTKGPS ve ülkemizde yürütülen bir proje sonucu geliştirilen CORS-TR sistemi ile ilgili bilgiler verilmiştir.Precision farming is known as determination of variability for soils, plants and products, planning of production due to spatial variability and application of variable rate inputs such as fertilizer, pesticide and seeds. Positioning and especially GPS is one of the important factor when determining of the variability for soils and plants, or nutrition. Determining of the position is vital for preparing of spatial variability maps of texture, or nutrients in the soils and application maps of fertilizer and/or pesticides, yield and then preparing of application maps of fertilizers a, seeds and pesticides. Accuracy and precision of the positioning affect on application of agricultural inputs directly. In this study, GPS, DGPS, RTKGPS and CORS-TR system which was developed by a project group carried out in Turkey were explained. Key words: Precision farming, positioning, GPS, CORS-T

İKİ AMAÇLI FARKLI MAKİNE SEÇENEKLİ KAPALI DÖNGÜ TEDARİK ZİNCİRİ OPTİMİZASYONU: BULANIK ÇÖZÜM TEKNİĞİ UYGULAMASI

Tedarik zinciri yönetimi, küreselleşme çağının başlangıcından beri akademisyenlerin ve uygulayıcıların artan ilgisini çekmeye devam etmiştir. Son yıllarda, tedarik zinciri yönetiminin odak noktası, enerji tüketimi, karbon emisyonları gibi ekonomik, sosyal ve çevresel yönlerin ortaklaşa ele alındığı sürdürülebilir akış yönetimi olmaya başlamıştır. Bu çalışmada, çok dönemli kapalı döngü tedarik zinciri ağ tasarım probleminin optimizasyonu için iki amaçlı karmaşık tamsayılı doğrusal programlama modelinin formüle edilmesi ve çözülmesi gerçekleştirilmiştir. Model, farklı makine tiplerinde faaliyet gösteren tesislerin toplam operasyon maliyeti ve toplam karbon emisyonları olmak üzere iki ayrı amacın minimizasyonunu hedeflerken, üretim ve dağıtım stratejilerini belirlemekte ve yeni veya eski tip makinelerin kullanımına da karar vermektedir. Daha eski ve güncel olmayan makinelerin ilk satın alma maliyeti, yeni ve güncellenmiş makinelere göre daha düşük olmasına rağmen, eski makineler, saat başına daha yüksek maliyetle çalışırken yeni makinelere göre saat başına daha fazla karbon salmaktadır. Ayrıca, bir saat içinde üretilen ürünlerin sayısı, yani üretkenlik, yeni makinelerde daha üstündür. Bu iki amaçlı kapalı döngü tedarik zinciri modelinin çözümü için bulanık ağırlıklandırma yaklaşımı kullanılmıştır. Sonuçlar, üretimde yeni nesil teknolojilere yatırım yapılmasının hem ekonomik hem de çevresel amaçlara ulaşmak için önemli olduğunu göstermektedir

DCTRGAN: Improving the Precision of Generative Models with Reweighting

Significant advances in deep learning have led to more widely used and precise neural network-based generative models such as Generative Adversarial Networks (GANs). We introduce a post-hoc correction to deep generative models to further improve their fidelity, based on the Deep neural networks using the Classification for Tuning and Reweighting (DCTR) protocol. The correction takes the form of a reweighting function that can be applied to generated examples when making predictions from the simulation. We illustrate this approach using GANs trained on standard multimodal probability densities as well as calorimeter simulations from high energy physics. We show that the weighted GAN examples significantly improve the accuracy of the generated samples without a large loss in statistical power. This approach could be applied to any generative model and is a promising refinement method for high energy physics applications and beyond.Comment: 14 pages, 8 figure

Getting High: High Fidelity Simulation of High Granularity Calorimeters with High Speed

Accurate simulation of physical processes is crucial for the success of modern particle physics. However, simulating the development and interaction of particle showers with calorimeter detectors is a time consuming process and drives the computing needs of large experiments at the LHC and future colliders. Recently, generative machine learning models based on deep neural networks have shown promise in speeding up this task by several orders of magnitude. We investigate the use of a new architecture -- the Bounded Information Bottleneck Autoencoder -- for modelling electromagnetic showers in the central region of the Silicon-Tungsten calorimeter of the proposed International Large Detector. Combined with a novel second post-processing network, this approach achieves an accurate simulation of differential distributions including for the first time the shape of the minimum-ionizing-particle peak compared to a full GEANT4 simulation for a high-granularity calorimeter with 27k simulated channels. The results are validated by comparing to established architectures. Our results further strengthen the case of using generative networks for fast simulation and demonstrate that physically relevant differential distributions can be described with high accuracy.Comment: 17 pages, 12 figure

New Angles on Fast Calorimeter Shower Simulation

The demands placed on computational resources by the simulation requirements of high energy physics experiments motivate the development of novel simulation tools. Machine learning based generative models offer a solution that is both fast and accurate. In this work we extend the Bounded Information Bottleneck Autoencoder (BIB-AE) architecture, designed for the simulation of particle showers in highly granular calorimeters, in two key directions. First, we generalise the model to a multi-parameter conditioning scenario, while retaining a high degree of physics fidelity. In a second step, we perform a detailed study of the effect of applying a state-of-the-art particle flow-based reconstruction procedure to the generated showers. We demonstrate that the performance of the model remains high after reconstruction. These results are an important step towards creating a more general simulation tool, where maintaining physics performance after reconstruction is the ultimate target.Comment: 26 pages, 19 figure

Pengembangan media pembelajaran berbasis ICT: konsep dan aplikasi pada pembelajaran Pendidikan Agama Islam

Dunia pendidikan sudah saatnya dapat memetik manfaat dari perkembangan teknologi informatika yang begitu pesat. Mungkin sudah bukan zamannya pendidik menyampaikan materi secara oral mulai awal sampai akhir pembelajaran, di samping melelahkan juga akan membosankan peserta didik. Ada beberapa media pembelajaran yang dapat difungsikan misalnya, media visual, media audio visual, media komputer, media berbasis internet, dan lain-lain. Buku ini berbicara tentang Pengembangan Media Pembelajaran berbasis ICT, Kajian dan Aplikasi pada pembelajaran Pendidikan Agama Islam. Dalam buku ini dipaparkan berbagai macam media pembelajaran, fungsi, kelebihan dan kekurangannya. Juga disajikan cara memanfaatkan media internet untuk mengembangkan materi Pendidikan Agama Islam. Dengan demikian, pendidik dapat memilah dan memilih media yang tepat untuknya, sekaligus pendidik dapat berinovasi serta mengembangkan pembelajaran yang kreatif dan inovatif

Polimer sıvı kristallerin elektronik ve optik özelliklerinin geniş sıcaklık aralığında karakterizasyonu

01.07.2006[Abstract Not Available