bluuebunny/crossref_metadata_2025 huggingface dataset:
Implementation of Pixel Likeness Weighted Frame (Plwf) Filter Technique Based Digital Image Denoising for DSP Applications
Authors:   Professor. Department of Information Technology, Karpagam College of Engineering, Coimbatore, Lakshmi* Dr. K. Maha , Prakash S Jaya ,   Associate Professor, Department of Computer Science and Engineering, Idhaya Engineering College for Women, Chinnasalem
Published: October 2019

Digital images are often corrupted by contaminated display and information quality noise. Images can be corrupted at any stage during which they are acquired and transmitted through the media. Image denoising is a basic function designed to eliminate noise from naturally corrupted images. This work proposes a fixed-point discrete wavelet transform (DWT) architecture that uses a nonlinearly modified pixel-like weighted frame (PLWF) technique to denoise the high-throughput of adaptive white Gaussian white noise (AWGN) images. The linearized state to be based on the neighboring pixel unity is that the state model noise is used to improve the peak signal to the sound rate (PSNR). The proposed architecture is employed in two different stages - consistent and conditional sorting output selection unit. The detailed result of the proposed architecture shows the size and display quality of any state-of-the-art performance and some recently introduced work. For further evaluation of the denoising capability, the algorithm is compared to some state-of-the-art algorithms and experimental results on simulated sound images and captured images of low-light noise especially large image processes Low noise light picked up by the test results. The performance of the proposed method is compared to wavelet thresholds, bilateral filters, non-local averaging filters, and bilateral multi-resolution filters. The study found that the draft production plan is smaller than the wavelet threshold, the bilateral filter, and the non-local means of filtering and larger superior/similar to the method, visual quality, PSNR and image index noise bilateral multi-resolution filter quality.
Maximized Users Influence in Social Networks by using Hybrid Modified Firefly with Ant Colony Optimization Algorithm
Authors:   Department of Computer Science, Thavathiru Santhalinga Adigalar Arts, Science and Tamil College, Coimbatore, Tamilnadu, India., Umadevi* Dr. V. , Karunanithi Mr. J. ,   Department of Computer Science, Thavathiru Santhalinga Adigalar Arts, Science and Tamil College, Coimbatore, Tamilnadu, India.
Published: October 2019

Influence expansion issue is to locate a lot of seeds in informal communities with the end goal that the course influence is boosted. Conventional models expect that all hubs are eager to spread the influence once they are influenced, and they overlook the divergence among influence and benefit of an item. Suggestion frameworks have gotten significant consideration as of late. Be that as it may, most research has been centered around improving the presentation of collective separating procedures. Interpersonal organizations, crucially, give us additional data on individuals' inclinations, and ought to be considered and conveyed to improve the nature of suggestions. This paper displays a hybrid algorithm joining two heuristic optimization methods, ACO (Ant Colnoly Optimization) and HMFA (Hybrid Modified Firefly Algorithm) for amplifying Social system clients influence level.. The proposed algorithm coordinates the benefits of both ACO and HMFA, where the algorithm is introduced by a lot of arbitrary ants that is meandering through the inquiry space. During this wandering a development of these ants is performed by coordinating ACO and HMFA, where HMFA fills in as a neighborhood search to refine the positions found by the ants. Then again, the exhibition of HMFA is improved by lessening the randomization parameter with the goal that it diminishes slowly as the optima are drawing nearer. The examinations of numerical outcomes demonstrate that there is an extent of research in hybridizing swarm insight techniques to tackle troublesome persistent optimization issues and this hybrid ACO–HMFA is a promising and profitable device to take care of unconstrained nonlinear optimization issues. A cautious perception will uncover the accompanying advantages of the proposed optimization algorithm.
Speech Recognition of Isolated Words using a New Speech Database in Sylheti
Authors:   Department of Electronics & Telecommunication Engineering, Assam Engineering College, Guwahati, India., Chakraborty* Gautam , Saikia Navajit ,   Department of Electronics & Telecommunication Engineering, Assam Engineering College, Guwahati, India.
Published: October 2019

With the advancements in the field of artificial intelligence, speech recognition based applications are becoming more and more popular in the recent years. Researchers working in many areas including linguistics, engineering, psychology, etc. have been trying to address various aspects relating to speech recognition in different natural languages around the globe. Although many interactive speech applications in "well-resourced" major languages are being developed, uses of these applications are still limited due to language barrier. Hence, researchers have also been concentrating to design speech recognition system in various under-resourced languages. Sylheti is one of such under-resourced languages primarily spoken in the Sylhet division of Bangladesh and also spoken in the southern part of Assam, India. This paper has two contributions: i) it presents a new speech database of isolated words for the Sylheti language, and ii) it presents speech recognition systems for the Sylheti language to recognize isolated Sylheti words by applying two variants of neural network classifiers. The performances of these recognition systems are evaluated with the proposed database and the observations are presented.
Voting Based Revocation Mechanism in MANET using Direct and Recommendation Trust
Authors:   Department Computer science and Engineering, KL University, Guntur Dist., A.P., India, E* Jayanthi. , Hussain Mohammed Ali ,   Department Computer science and Engineering, KL University, Guntur Dist., A.P., India
Published: October 2019

The growing use of mobile devices in MANET has influenced a lot of application in the field of wireless technology. To provide security to the network is a major challenge. Of all the goals of wireless network security, authentication is crucial. Communication among authenticated nodes is done with digital certificate. Nodes which misbehave in the cluster are eliminated from the network by revoking its certificate. Our proposed system uses voting based mechanism using trust of the node present in the black list. The trust value calculation is done for all the nodes in black list by cluster head using direct and recommendation trust. Total trust is the combination of 80% of direct trust and 20% of indirect trust. Revocation is done based on the threshold to reduce the false accusation. Simulation result of the proposed system using NS-2 shows improved results when compared with existing scheme in terms of malicious node revocation, false revocation, normalized time to revocation, revocation accuracy ratio and number of warned nodes. Simulation results articulate that the proposed mechanism yields an exemplary outcome for providing secure communication in MANETs.
Automated System for Defect Identification and Character Recognition using IR Images of SS-Plates
Authors:   EEE, Sathyabama Institute of Science and Technology, Chennai, India., Elanangai* V. , Babu Vasanth Kishore ,   ECE, Vidya Jyothi Institute of Technology, Hyderabad, India.
Published: October 2019

Defects on the surface of stainless steel(SS) plates are one of the most important factors affecting the quality of SS plates. Problems of manual defect inspections are lack of accuracy and high time consumption, where early and accurate defect detection is a significant phase of quality control. It is indeed in need to distinguish such abnormalities through computer automated classification systems, which would have a persistent vision of identifying and classifying the above mentioned problem with self-trained classification routine. In this paper, develop a sophisticated routine for defect identification and character recognition on SS plates by considering the multiple features of IR images. The proposed method integrates four steps: (1) defect candidate is detected using a Multi-Scale LoG Weighting; (2) features descriptive of defect shape and texture are extracted; (3) defect objects are classified using a classifier based on SVM-RFE model and (4) the character recognition of SS plate is done using pattern correlation. The output of the anticipated routine is assessed by the metrics: accuracy, sensitivity & specificity. The automated defect identification and classifying routine is compared with ANN, Adaboost and Random Forest (RF) classification methods where the classification result of the anticipated routine outperformed the performance of the previous classification methods.
Random Forest Algorithm with a Half-Voting and Weighted Decision Trees for Interior Pedestrian Tracking
Authors:   Professor, NRI Institute of Technology, Rao P Rama Koteswara
Published: October 2019

The traditional Zero Velocity Updating Algorithm is being used to correct the accumulated errors of the device effectively. However, as the threshold value of the traditional Zero Velocity Updating algorithm is fixed, it is only suitable for a single motion mode. When indoor pedestrian motion includes multiple motion modes, the positioning accuracy will be greatly reduced. In this paper, we propose an adaptive Zero Velocity Updating method for multi-motion mode using half- voting Random Forest. We analysed the selection of Zero Velocity Updating threshold value for stilling, walking, running, going upstairs and downstairs for the interior pedestrian. Then we recognize pedestrian motion by Random Forest with a Half-Voting and Weighted Decision Trees. Finally according to the result of recognition adjust the threshold adaptively to determine the zero velocity intervals accurately. In order to verify the feasibility and effectiveness of the method proposed in this paper, field experiments were carried out with the inertial navigation module developed by our laboratory. The experimental results show that when indoor pedestrians perform multi-mode motion, the positioning error is 0.5m.
L2 Learners’ Problems in Speaking English of Rural Background Engineering Students in Ap
Authors:   Research Scholar, VFSTR Deemed to be University, Vadlamudi, AP India, D Ganesh , Charyulu Dr.Gomatam Mohana ,   Associate Professor of English, VFSTR Deemed to be Universsity, Vadlamudi, AP India, Hussain Syed Sadiq ,   Research Scholar, VFSTR Deemed to be University, Vadlamudi, AP India.
Published: October 2019

In Indian education system, learning English language is a second language (L2) which is unavoidable and undividable apart from their mother tongue (L1). An intellectual, physical and emotional contribution is necessary to learn a second language successfully and to communicate a linguistic message. Especially, the rural area of engineering students used L1 (Telugu) as a way of communication tool in some of the engineering colleges as they are facing many challenges while speaking English as a second language (L2). The present study would investigate the causes, problems and difficulties faced by the rural area students who came to study engineering courses in VIIT (A) College in Visakhapatnam, AP. The researcher has used a questionnaire and semi-structured interviews for 40 students includeing 32 male and 8 female rural area students for data collection. The collected data analyzed statistically and graphically. In the data analysis, the results revealed the reasons for failure like due to less time to learn English in the classroom, inadequate encouragement from teachers, family and friends. It is also found that the Teaching of English language in bilingual method and late foundation of English medium studies in previous academics. This piece of writing also facilitates the researchers who aim to investigate similar problems in speaking skills for rural area engineering students. The study also presented some of the suggestions and recommendations to overcome the struggle for the language teachers and students.
Different ANN Models for Short Term Electricity Price Forecasting
Authors:   Department of EEE, Koneru Lakshmaiah Education  Foundation, Vaddeswaram, A.P, India., Sarada* K , Tulasi Ram S S ,   Department of EEE, JNTUH, Telangana, India.
Published: October 2019

In a deregulated electiricity market, price forecasting is gaining demand with application of Artificial Neural Network (ANN). The paper deals with price forecasting with different ANN models.like Back Propagation Neural Network( BPNN), Radial Bias Function Neural Network (RBFNN) and Genectic Algorithm based Neural Network (GANN). A contextual investigation is made with the downloaded data of the day-ahead pool market prices of the California Pool Market using the above four different ANN models and the results are compared.
An ECPABE Algorithm and RPLS Protocol for Secured Transmission on IOT based Environment
Authors:   Department of computer science and Engineering,  Annamalai University, Tamil Nadu, India, Vijayakumar K. , Vijay Bhanu Dr. S. ,   Department of Computer science and  Engineering, Annamalai University, Tamil Nadu, India.
Published: October 2019

WSN include Internet Protocol (IP) which extends the Internet of Things (IoT) related to routine life. Security is main thing in emerging technology for IOT application. Therefore, WSN has lot of issues which include: (i) To promote the sensor devices efficiently during the transmission of data for consuming low energy (ii) To resolve the security issues of data faced at the time of transmission through large area of networks. In this paper, to overcome the above issues the novel scheme is proposed. A Secure based smart home automation system in IOT application is built for this study. Furthermore, the data transmission utilizes the energy using Low power consumption protocol using RPLS and to secure the data a data security scheme ECPABE have been proposed here. The performance of proposed protocol shows the limited energy consumes and proposed ECPABE provides better security level to IoT data than the existing schemes. The results show the proposed scheme security analysis is efficient as well as secure.
Sistem Informasi Potongan Gaji Pegawai Pada SMP Negeri 7 Kota Bengkulu
Authors: Handayani Sri , Mujiono Dadang
Published: October 2019

Kemajuan teknologi informasi dari waktu ke waktu semakin berkembang. Menurut kita untuk mengenal dan memahami kemajuan teknologi informasi tersebut dan sekarang komputer bukan merupakan benda langkah lagi, masyarakat mulai menggunakan komputer dalam kehidupan sehari-hari baik pada instansi-instansi pemerintahan, pendidikan dan meluas segala bidang, ini artinya sumber daya manusia yang unggul di bidang teknologi dan komputer sangat dibutuhkan. Dalam Informasi Potongan gaji pegawai pada SMP Negeri 7 Kota Bengkulu masih menggunakan program aplikasi Microsoft Excel. Dengan menggunakan Program Aplikasi Microsoft Excel data-data yang akan diolah hanya dalam jumlah tertentu, dan untuk memasukkan, memperbaiki dan mencari data membutuhkan waktu yang tidak cepat. Salah satu cara yang efisien agar informasi dapat tersampaikan dengan baik ialah menggunkan program aplikasi Visual Basic, dimana seorang pegawai dapat memperoleh informasi dengan mudah terutama mengenai potongan gaji.Kata Kunci: Sistem Informasi Potongan Gaji,Visual Basic,
Implementasi Linear Congruent Method Untuk Pengacakan Soal Pada Game Perhitungan Jarimatika Berbasis Android
Authors: Andilala Andilala , Gunawan Gunawan
Published: October 2019

Perjalanan teknologi telah mengalami langkah maju yang sangat menakjubkan, terutama bidang komputer pada khususnya. Kecanggihan komputer terletak pada banyaknya data penyampaian informasi. SDIT baitul izzah merupakan sekolah dasar yang memiliki basis agama yang kuat, sistem pembelajaran pada SDIT baitul izzah berbeda dengan sekolah dasar yang konvensional. Metode linear congruent method (LCM) merupakan proses menurunkan secara acak nilai variabel tidak pasti secara berulang-ulang untuk mensimulasikan model. Bermain sambil belajar dan merasa tertantang dengan teknik jarimatika tidak membebani memori otak peserta didik. Teknik berhitung jarimatika mampu menyeimbangkan kerja otak kanan dan kiri, hal itu dapat ditunjukkan pada waktu berhitung mereka akan mengotak-atik jari-jari tangan kanan dan kirinya secara seimbang. bagaimana membuat perhitungan jarimatika berbasis smartphone android menggunakan metode Linear Congruent Method. Tujuan penelitian ini adalah untuk membuat perhitungan jarimatika berbasis androidKata Kunci : Jarimatika, LCM, Android
Arsitektur Three Tier (Client Server Programing) Pada Aplikasi Perpustakaan Fakultas Teknik Universitas Muhammadiyah Bengkulu
Authors: Jasri Joka
Published: October 2019

Abstrak—Perpustakaan Fakultas Teknik Universitas Muhammadiyah Bengkulu adalah salah satu penunjang proses pembelajaran civitas akademika mahasiswa, dosen dan semua yang membutuhkan peningkatan pembelajarannya. Namun kadang kala mahasiswa masih sulit memperoleh informasi buku-buku seperti ketersediaan buku serta letak buku yang di cari pada perpustakaan. Untuk itu perlunya membangun suatu sistem layanan informasi yang dapat diakses oleh banyak orang sekaligus tanpa harus mengantri dan mendatangi pusat pelayanan informasi. Yaitu membangun  terdistirbusi. Membangun  terdistribusi dengan konsep client server model three tier merupakan inovasi dari model tier sebelum nya, yaitu one tier dan two tier. Konsep client server model three tier adalah model yang membagi fungsionalitas ke dalam lapisan-lapisan, lapisan client, lapisan application server, dan lapisan database server. memusatkan logika pada server application atau middle tier, dapat mendistribusikan beban data pada beberapa mesin, meningkatkan keamanan dan kemampuan menyembunyikan data, cepatnya perawatan dengan tanpa instalasi database server pada setiap client. Dengan demikian pembangunan  perpustakaan Fakultas Teknik Universitas Muhammadiyah Bengkulu dengan model arsitektur three tier sangat aman diterapkan pada jaringan yang luas atau pada internet, serta  mahasiswa atau masyarakat dapat dengan mudah mencari buku-buku diperpustakaan Fakultas Teknik Universitas Muhammadiyah Bengkulu setelah mendapatkan informasi buku yang dicari Kata kunci : Three Tier, client server, perpustakaan
Aplikasi Sistem Pencarian Lagu menggunakan Algoritma Levenshtein Distance
Authors: Darnita Yulia , Muntahanah Muntahanah
Published: October 2019

Saat ini dalam kehidupan sehari-hari manusia tidak terlepas dari suara musik baik itu di dalam rumah maupun di luar rumah. Adanya musik di dalam kehidupan manusia sangat bermanfaat karena musik sebagai relaksasi untuk melepas stress, atau untuk mengubah suasana. Akan tetapi banyak penikmat musik terkadang lupa terhadap lagu yang sering mereka dengar dan nyanyikan, sehingga membuat mereka menjadi bertanya-tanya apa judul lagu dari lirik yang ia nyanyikan, cara tersebut kurang efisien sebab mungkin tempat kita bertanya juga tidak mengetahui judul lagu yang kita maksudkan. teknologi ASR ini sering tidak menemui akurasi atau ketepatan pada perangkat mobile, khususnya karena faktor lingkungan yang berisik, Oleh karena itu pada aplikasi ini akandiimplementasikan algoritma Levenshtein Distance Algoritma ini akan memperbaiki kesalahan input suara, baik karena noise maupun kesalahan pengucapan. Levenshtein distanceadalah sebuah matriks stringyang digunakan untuk mengukurperbedaan atau jarak (distance) antara dua string, nilai distanceantara dua stringiniditentukan oleh jumlah minimum dari operasi-operasi perubahan yang diperlukan untukmelakukan transformasi dari suatu stringmenjadi stringlainnya, operasi-operasi tersebutadalah penyisipan (insertion), penghapusan (deletion), atau penukaran (subtitution). Berdasarkan hasil pengujian yang dilakukan dapat diambil kesimpulan : Sistem ini dapat membantu penggunanya dalam melakukan pencarian judul lagu berdasarkan sebagian lirik dengan hasil pencarian yang optimal, Penerapan Algoritma Levenshtein Distance dapat membantu mengatasi permasalahan pada kesalahan ejaan kata kunci dengan mekanisme penambahan, penyisipan dan penghapusan karakter. Kata Kunci: Musik, Lagu, Lirik, algoritma Levenshtein Distance
PENGENALAN ALAT MUSIK TRADISIONAL BENGKULU (DOL) DIGITAL BERBASIS ANDROID
Authors: Apridiansyah Yovi Apri , Pahrizal Pahrizal
Published: October 2019

Abstract—. Indonesia possesses a highly diverse affluence of art and culture, from Sabang to Merauke, deployed in a variety of arts and cultures that have been bequeathed from generation to generation. Dol is a traditional musical instrument that is performed by striking, which is based on electroacoustic technology or digital methods. His tone is harked through an amplifier and loudspeaker. In terms of sound quality, electronic dol practically makes no difference with common dol. Based on the background, the problem was formulated on how to make a recognition to traditional musical instruments (dol) built upon Android. The research objective of introducing traditional musical instruments (dol) on Android-based digital is to append concept into learning virtual dol with Android so that it is increasingly interactive. The costs of this application is that it is not mobile in 3 dimensions, in dol and tasa voice recording settings still utilizing normal recording.Keywords: Application, Music, Dol, AndroidAbstrak—. Indonesia memiliki kekayaan seni dan budaya yang sangat beragam, dari Sabang sampai Merauke, tersebar beraneka ragam seni dan budaya yang diwariskan secara turun temurun. Dol adalah alat musik tradisional yang dimainkan dengan dipukul, yang didasarkan pada teknologi elektroakustik atau metode digital. Nada suaranya terdengar melalui sebuah amplifier dan loudspeaker. Dari sisi mutu suara, dol elektronik nyaris tak ada bedanya dengan dol biasa. Berdasarkan latar belakang, maka dirumuskan masalahnya bagaimana membuat pengenalan alat musik tradisional (dol) digital berbasis android. Tujuan penelitian pengenalan alat musik tradisional (dol) digital berbasis android adalah untuk menambah wawasan dalam belajar dol virtual dengan android sehingga yang lebih interaktif. Kekurangan aplikasi ini tidak bersifat 3 dimensi yang berbasis mobile, dalam pengaturan perekaman suara dol dan tasa masih menggunakan perekaman biasa.Kata Kunci : Aplikasi, Musik, Dol, Android
Sistem Informasi E-Career Center STMIK Amik Riau
Authors: Junadhi Junadhi
Published: October 2019

Abstrak – Sistem informasi lowongan pekerjaan atau e-career bukanlah sesuatu yang baru pada perguruan tinggi namun pada kenyataannya tidak semua perguruan tinggi memiliki sistem informasi layanan informasi lowongan pekerjaan. Para lulusan yang telah menamatkan diri dari perguruan tinggi bukan berarti hubungan antara perguruan tinggi dan lulusan terputus namun harus tetap terjalin dengan baik, salah satu bentuk upaya agar para lulusan mendapatkan informasi pekerjaan secara cepat dan untuk kebutuhan akreditasi program studi maka dibangun sistem informasi e-career. Pada sistem e-career tentu memberi kemudahan bagi mahasiswa dan lulusan untuk mendapatkan informasi lowongan pekerjaan. Pada pembangunan ini tentu diperlukan model yang dapat membantu menganalisa sistem dan merancang sistem. UML merupakan konsep pemodelan berbasis Object Oriented yang dapat membantu dalam perancangan dan menganalisis sistem.Kata kunci : Sistem Informasi, E-Career, UML, Web
PROTOTIPE APLIKASI MATERI PROMOSI RITEL MERCHANDISE BEBASIS WEB (STUDI KASUS PT. MATAHARI PUTRA PRIMA, TBK)
Authors: Sinaga Pintar Suandi Munson , Sari Yunita Kartika
Published: October 2019

Dalam dunia binis ritel yang semakin berkembang, pelaku usaha di tuntut untuk dapat bertumbuh disituasi yang tidak pasti saat ini, kegiatan bisnis yang stabil akan membuat usaha terus bergerak dan dapat memberikan pertumbuhan yang baik pada perusahaan. Salah sayu hal yang paling memberikan pengaruh pada bisnis ritel adalah analisa pasar, persaingan harga dan kegiatan promosi yang di lakukan oleh para pengusaha ritel. Promosi merupakan cara yang digunakan untuk menginformasikan dan membujuk konsumen tentang produk atau jasa yang baru pada perusahaan melalui media cetak, penjualan pribadi, promosi penjualan.  Hal itu membuat pelaku bisnis ritel banyak mengunakan media promosi untuk meningkatkan penjualan dan untuk bersaing dengan kompetitor lainnya. Kegiatan promosi dapat memberikan efek positif yang berpengaruh pada cara pandang konumen akan sebuah perusahaan ritel. Penelitian ini dilakukan untuk membantu Merchandiser dalam memperoleh informasi tentetang kegiatan promosi yang dilakukan oleh kompetitor ritel yang belum tersedia saat ini dan agar dapat menganalisa rencana promosi yang bagimana sehingga dapat diambil untuk memberikan persaingan harga dan dapat membujuk konsumen untuk berbelanja.
Peningkatan Akurasi Lokasi Gempa Mikro Dengan Menggunakan Metoda Double-Difference Dan Korelasi Silang Master Waveform
Authors: Hijriani Arifa , Sahara David P. , Nugraha Andri D. , Ramadhan Irvan , Sidik R. P.
Published: October 2019

Perekaman gempa mikro menjadi suatu metode yang umum dilakukan untuk memperkirakan struktur geologi pada suatu lapangan panas bumi. Data hasil perekaman gempa mikro di Lapangan Panas Bumi ARD, sebelum proses pemboran eksplorasi, diolah dan dianalisis dalam penelitian ini dengan tujuan untuk memetakan struktur bawah permukaan. Jaringan seismik pada Lapangan Panas Bumi ARD terdiri dari 26 stasiun yang dipasang selama 8 bulan sejak Agustus 2011 dalam radius 20 km dari target reservoir. Terdapat 637 gempa mikro lokal yang berhasil terdeteksi dan terpetakan selama pengukuran berlangsung. Jumlah ini relatif besar untuk sebuah daerah yang masih dalam tahap awal eksplorasi panas bumi. Akan tetapi, akurasi penentuan lokasi hiposenter gempa mikro perlu ditingkatkan mengingat keberadaan kesalahan penentuan waktu tiba dan model kecepatan. Studi ini bertujuan untuk meminimalkan kesalahan akibat dua parameter tersebut dengan menggunakan metode korelasi silang dan double dierence. Korelasi silang waveform dengan master event diterapkan untuk meningkatkan kualitas penentuan waktu tiba. Terdapat 559 dan 527 pasangan waveform yang memiliki korelasi diatas 0.76. Gempa-gempa mikro yang muncul diinterpretasikan berasal dari bidang patahan yang sama. Koreksi waktu tiba rata-rata yang dihasilkan adalah sebesar 0.2 detik. Setelah dilakukan relokasi dengan metode double dierence, lokasi gempa bergeser sekitar 200 hingga 1500 m dan dihasilkan cluster gempa mikro yang lebih tajam. Kluster gempa mikro tersebut bersesuaian dengan struktur berarah Timur laut - Barat daya di lapangan ARD. Residual travel time gempa mikro juga menunjukkan penurunan yang signikan. Dari hasil penelitian dapat disimpulkan bahwa relokasi hiposenter dengan metode korelasi silang master event dan double difference berhasil mereduksi ketidakpastian lokasi hiposenter di lapangan ARD.
Study of Converted-Wave Modeling: AVO Application for Shallow Gas Models
Authors: Viony Natashia Christy , Triyoso Wahyu
Published: October 2019

The application of converted-wave seismic method in hydrocarbon exploration has increased significantly. Since the conventional seismic ceases to provide an adequate result in complex geology area and it provides an ambiguous brightspot response. The main principle is that an incident P-wave produces reflected and converted P and SV wave when the downgoing P-wave impinges on an interface. Converted-wave seismic uses the multicomponent receiver that records both of vertical component and horizontal component. The vertical component is assumed to correspond to the compressional PP wave and the horizontal correspond to the PS converted-wave. In this research, a synthetic model with the shallow gas and the salt dome below are constructed. The purpose of this study is to analyze the brightspot due to the presence of shallow gas and its effect to the quality of PP and PS wave reflection below the gas zone. To achieve the goal, both vertical and horizontal seismic data processing are performed. In horizontal data processing, the best gamma function (Vp/Vs) value is estimated to produce the better and reliable image. The result shows that the brightspot response in conventional data doesn’t exist in converted-wave data and the imaging below the gas zone in converted-wave data is better than the conventional due to the attenuation and diffraction effect that caused by gas column. Processing is followed by AVO analysis to compare the AVO response of PP and PS data in characterizing gas reservoir. Both PP and PS AVO curve shows the consistency with synthetic AVO from well data. Gas reservoir is a class 1 AVO anomaly with positive intercept and negative gradient on PP data. However, PS AVO curve does not refer any anomaly. It is because S-wave is not sensitive to the existence of rock saturant.
Aquifer Area Investigation Using Resistivity Method in Cikopomayak, West Java, Indonesia
Authors: Sihotang Josua Washington , Osvaldus Rodrigo , Munte Danny Bona Tua , Priono Nasib , Mohamad Febriwan
Published: October 2019

Administratively, the research area is located in around Cikopomayak Village, Jasinga, Bogor, West Java,Indonesia. Based on the Hydrogeological and Groundwater Basin Map, this research area was classied to non-potential groundwater basin. In addition, when the summer comes, the lack of water will be happened around the area. Consequently, the water reserve wasn't enough to fulll the necessity of freshwater. Thus, the research about identifying aquifer location was needed. This research aims to determine the depth and thickness of aquifer for the alternative ways to overcome the problem, particularly, for the Cikopomayak Village. Theresearch used the geophysical method by modeling the several data such as Geoelectric 1-D to know the aquifer location based on the section of medium resistivity value. Then, the geoelectric data was correlated to the borehole drilling data that is Gamma Ray (GR) Log, Spontaneous Potential (SP) Log, Resistivity Log, and the cutting data. Commonly, the most suitable lithology for an aquifer is sandstone because of its good characteristic of permeability and porosity. Logging data result will show the small value of GR log, SP Log lean-ing to the right, and low-value resistivity for indicating the aquifer zone. Based on geoelectric data, the research zone has 3 groups of resistivity value and lithology that are shaly clay-stone and siltstone with low-value resistivity (0-50 ohm.m), sandy claystone, medium sandstone, and coarse sandstone with medium value resistivity (50-150 ohm.m), fine sand-stone, sandy claystone, and andesite with high-value resistivity (> 150ohm.m). The aquifer system in the research area was classied into 3 groups that are aquifer, aquitard, andaquiqlud.
3-D Inversion of Gravity Data Using Iterative Calculation for Subsurface Modeling of Mt. Pandan, East Java, Indonesia
Authors: Aji Waskito , Wahyudi E. J. , Santoso D. , Kadir W. G.A.
Published: October 2019

Mount Pandan is one of the volcanoes located in East Java.There was an earthquake with magnitude 4.2 onThursday, June 25, 2015, at 10.35 pm located in the area of Mount Pandan. The earthquake indicates the active tectonic of Mount Pandan. In addition, Mount Pandan is one of eleven geothermal prospects in East Java. Thus, it is interesting to do a study related to the geological condition of Mount Pandan. So far, most studies have discussed the related surface geology of Mount Pandan. This study aims to provide information related to the subsurface condition of Mount Pandan based on gravity data. In this research, gravity data inversion modeling technique is used to image the subsurface condition of Mount Pandan. The inversion technique used is non linear inversion with iterative calculation method. In this modeling scheme, the model to be determinedis a layer boundary depth model of two layers of rock based on gravity anomaly data. In each layer the rock is assumed to be composed of a set of rectangular prisms with a certain dimension. A collection of prisms representing the rock layers is then computed by the model response and evaluated by comparing it to the observed data. From this evaluation, a modication of the length of the prism is made so thatthe boundary layer model will change. The process of evalu ation and modication of the model is done iteratively until it reaches the number of predened iterations. The result obtained from this gravity inversion modeling is a model of the subsurface boundary of Mount Pandan. The subsurface model obtained is the existence of a formation resembling a rock intrusion, in this case interpreted as an andesitic rockthat intrudes overlying rock layers. This intrusive formation lies at the peak of Mount Pandan and is continuously to the north, with the undisturbed intrusion located around the summit of Mount Pandan.
Analisis Faktor yang Mempengaruhi Return Saham dengan Kebijakan Deviden sebagai Variabel Moderating pada Perusahaan Consumer Goods
Authors: Sihombing Monang Juanda Tua
Published: October 2019

This study aims to determine and analyze the factors that influence stock returns with dividend policy as a moderating variable simultaneously and partially on consumer goods companies listed on the Indonesia Stock Exchange (IDX). The population of this research is 155 consumer goods companies listed on the IDX. Samples selected using the saturated sampling method amounted to 31 companies. Data were processed using multiple linear regression statistical test methods using SPSS software. The results of this study prove the first hypothesis that the variable current ratio, return on equity, earnings per share, net profit margin, cash flow from operations to debt, inflation and Bank Indonesia interest rates simultaneously influence stock returns. Partially, inflation and interest rates of Bank Indonesia partially affect stock returns, while the current ratio variable, return on equity, earnings per share, net profit margin and cash flow from operations to debt do not affect stock returns. In the results of the research for the second hypothesis, dividend policy is not able to moderate the relationship of current ratio, return on equity, earnings per share, net profit margin, cash flow from operations to debt), inflation and Bank Indonesia interest rates on stock returns.

Keywords: current ratio, return on equity, earnings per share, net profit margin, cash flow from operations to debt, inflation, rate interest of Bank Indonesia, dividend policy and stock returns.
String Matching Untuk Penyesuaian Dosen Pembimbing Dengan Algoritma Boyer Moore
Authors: Alasi Tomy Satria , Allwine Allwine
Published: October 2019

String matcing is a technique of reading in this computer just as humans do from left to right or from right to left in several languages the faster someone reads more information is obtained. Adaptation of supervisors is important for academics and has been applied throughout the academic. However, if there are many students, it will certainly make it difficult for academics, the reason why it is necessary to adjust the supervisor so that the lecturers' research field can really be applied to students so that the supervisors provide guidance to students to gain broader knowledge due to the field of study. Besides that, the facilities are generally used so far using manuals requires a new information system for academics so as not to drain the mind and energy The adjustment of the thesis supervisor is designed to facilitate the academic, students and lecturers to be faster. The algorithm used in this system is to use the function of pulling information using string matching. Boyer more algorithm is reading a text from many texts and taking the bottom line or key of the text as information points. If later the adjustment of supervisors processes large data and is used continuously, this system really facilitates the academic parties to be integrated by utilizing fast and smart data, so that it only needs to develop the existing academic information system.

Keywords: String Matching, Adjustment of Lecturers, Counselors, Boyer Moore Algorithms.
Justiça e ponderação de direitos fundamentais
Authors: Albrecht Lourdes Pasa
Published: October 2019

O objetivo deste texto é avaliar a perspectiva da efetivação da justiça nos casos concretos de colisão de direitos fundamentais na teoria da ponderação construída por Robert Alexy. A inter-relação entre os juízos ponderativos e a justiça da decisão permeia todo trabalho de investigação. Para tanto, busca elucidar os desdobramentos da ponderação como atividade argumentativa racional como mote de realização da justiça, utilizando-se das reflexões sobre justiça baseadas em Chaïm Perelman. O propósito decisivo do estudo é evidenciar que a ponderação deve seguir formas e regras de argumentação jurídica racional e critérios próprios do procedimento da ponderação (sopesamento), demonstrando que o problema não está na ponderação, mas na sua correta aplicação numa situação concreta de direitos fundamentais colidentes, considerada sua natureza de princípios.
USER-FAIR DESIGNING EMERGENCY SERVICE SYSTEMS
Authors: Janáček Jaroslav , Gábrišová Lýdia
Published: October 2019

The usual approach to emergency system design consists in deploying a given number of service centers to minimize the disutility perceived by an average user, what is called “min-sum” or “system approach”. As a user in emergency tries to obtain service from the nearest service center, the min-sum optimal deployment may cause such partitioning of the users’ set into clusters serviced by one center that population of users is unequally distributed among centers. Within this paper, we focus on user-fair design of emergency service systems, where the fair approach is not applied on the individual users, but on the clusters serviced by one center. The fairer deployment should prevent the users to some extent from frequent occurrence of the situation, when the nearest service center to a current demand location is occupied by servicing some previously raised demand. In such case, the current demand must be assigned to a more distant center. To achieve fairer design of emergency system, we present four approaches to the design problem together with their implementation and comparison using numerical experiments performed with several real-sized benchmarks.
Importance of Shock Compression in Enhancing ICME’s Geoeffectiveness
Authors: Xu Mengjiao , Shen Chenglong , Wang Yuming , Luo Bingxian , Chi Yutian
Published: October 2019

Shock embedded interplanetary coronal mass ejections (ICMEs) are of great interest in the solar and heliosphere physics community due to their high potential to cause intense geomagnetic storms. In this work, 18 moderate to intense geomagnetic storms caused by shock-ICME complex structures are analyzed in order to show the importance of shock compression in enhancing ICMEs’ geoeffectiveness. Based on the characteristics of the shocks inside ICMEs, including the shock velocity, shock normal direction, and the density compression ratio, we recover the shocked part in the ICME to the uncompressed state by using a recovery model developed by Wang et al. according to the Rankine–Hugoniot relationship. Comparing the observational data and the recovered parameters, we find that the maximum southward magnetic field in the ICME is doubled and the dawn–dusk electric field is increased 2.2 times due to the shock compression. Then, the parameters of the observed and recovered solar wind and magnetic field are, respectively, introduced into various Dst prediction models. The prediction results show that, on average, the shock compression can enhance the intensity of the geomagnetic storm by a factor of 1.4. Without shock compression, the geoeffectiveness of these ICMEs would be markedly reduced. Moreover, there is a significant correlation between the shock density compression ratio and the shock’s capacity of strengthening geomagnetic storms. The larger the shock density compression ratio is, the more obvious Dst index decrease is caused.
The ALMaQUEST Survey: The Molecular Gas Main Sequence and the Origin of the Star-forming Main Sequence
Authors: Lin Lihwai , Pan Hsi-An , Ellison Sara L. , Belfiore Francesco , Shi Yong , Sánchez Sebastián F. , Hsieh Bau-Ching , Rowlands Kate , Ramya S. , Thorp Mallory D. , Li Cheng , Maiolino Roberto
Published: October 2019

The origin of the star-forming main sequence (SFMS; i.e., the relation between star formation rate and stellar mass, globally or on kpc scales) remains a hotly debated topic in galaxy evolution. Using the ALMA-MaNGA QUEnching and STar formation (ALMaQUEST) survey, we show that for star-forming spaxels in the main-sequence galaxies, the three local quantities, star formation rate surface density (ΣSFR), stellar mass surface density (Σ*), and the H2 mass surface density (

) are strongly correlated with one another and form a 3D linear (in log) relation with dispersion. In addition to the two well-known scaling relations, the resolved SFMS (ΣSFR versus Σ*) and the Schmidt–Kennicutt (SK) relation (ΣSFR versus

), there is a third scaling relation between

 and Σ*, which we refer to as the molecular gas main sequence (MGMS). The latter indicates that either the local gas mass traces the gravitational potential set by the local stellar mass or both quantities follow the underlying total mass distributions. The scatter of the resolved SFMS (σ ∼ 0.25 dex) is the largest compared to those of the SK and MGMS relations (σ ∼ 0.2 dex). A Pearson correlation test also indicates that the SK and MGMS relations are more strongly correlated than the resolved SFMS. Our result suggests a scenario in which the resolved SFMS is the least physically fundamental and is the consequence of the combination of the SK and the MGMS relations.
A review of the genus Brachytrycherus Arrow (Coleoptera, Endomychidae) of mainland China with descriptions of three new species
Authors: Chang Ling-Xiao , Bi Wen-Xuan , Ren Guo-Dong
Published: October 2019

This paper presents a review of the genus Brachytrycherus Arrow from mainland China. Three new species are described and illustrated: B. bipunctatus Chang & Bi, sp. nov., B. denticulatus Chang & Bi, sp. nov., and B. humerali Chang & Bi, sp. nov. The diagnosis, distribution, type locality, biology, and ecology are provided for each species. A key to the species of Brachytrycherus known in China is updated.
Intracorneal Ring Segments Implantation Outcomes Using Two Different Manufacturers' Nomograms for Keratoconus Surgery
Authors: Rocha Guilherme , Silva Ludmila Nascimento Pinto , Chaves Luís Fernando Oliveira Borges , Bertino Pedro , Torquetti Leonardo , de Sousa Luciene Barbosa
Published: October 2019

PURPOSE:

To compare the outcomes of intracorneal ring segments (ICRS) implantation in keratoconic eyes with a similar tomographic pattern, using two different manufacturers' nomograms for surgical planning.

METHODS:

ICRS were implanted alternately in patients with the same tomographic pattern of keratoconus divided into two groups according to the surgical planning proposed by the ICRS manufacturers (Keraring, Mediphacos, Belo Horizonte, Brazil, and Ferrara Ring, AJL Ophthalmics, Vitoria, Spain). Visual, refractive, keratometric, corneal aberrometry, and optical quality changes were evaluated during a 6-month follow-up. Corneal and manifest refractive astigmatic changes were also analyzed using the double-angle polar plot and the Alpins vectorial method through the following components: target induced astigmatism, surgically induced astigmatism, difference vector, correction index, angle of error, index of success, flattening effect, and torque.

RESULTS:

After ICRS implantation, both groups showed significant improvement (
P
< .05) in visual and keratometric data. Corneal aberrometric changes and optical quality improvement were also statistically significant in both groups, except for trefoil (
P
> .05 in all intervals). The Alpins method analysis showed a better performance in the Keraring group, but with no statistically significant difference between groups (
P
> .05). Comparison between groups showed a statistically significant difference only in tomographic astigmatism in double-angle polar plot analysis (
P
= .03), with more significant improvement in the Keraring group.

CONCLUSIONS:

Both manufacturers' nomograms resulted in statistically significant improvement in most of the parameters analyzed, with greater correction of corneal tomographic astigmatism in the group operated on according to the spherical equivalent/tomographic astigmatism nomogram.

[
J Refract Surg.
2019;35(10):673–683.]
Status of Residual Refractive Error, Ocular Aberrations, and Accommodation After Myopic LASIK, SMILE, and TransPRK
Authors: Shetty Naren , Dadachanji Zelda , Narasimhan Raghav , Kundu Gairik , Khamar Pooja , Ahuja Prerna , Kumar Vijay , Kumar Vikas , Shetty Rohit , Nuijts Rudy M.M.A. , Sinha Roy Abhijit
Published: October 2019

PURPOSE:

To analyze residual refractive error, ocular aberrations, and visual acuity (VA) during accommodation simultaneously with ocular aberrometry in eyes after laser-assisted in situ keratomileusis (LASIK), small incision lenticule extraction (SMILE), and transepithelial photorefractive keratectomy (TransPRK).

METHODS:

Ocular aberrometry (Tracey Technologies, Houston, TX) was performed 3 months after LASIK (n = 95), SMILE (n = 73), and TransPRK (n = 35). While measuring the aberrations, VA was measured at distance (20 ft), intermediate (60 cm), and near (40 cm) targets. The examinations were done monocularly. A parallel group of age-matched normal eyes (n = 50) with 20/20 Snellen distance VA also underwent aberrometry.

RESULTS:

Distribution of residual spherical error of LASIK eyes matched the normal eyes the best, followed by SMILE and TransPRK. However, the distribution of cylindrical error of the SMILE eyes was distinctly different from the rest (
P
< .05). The SMILE eyes tended to be undercorrected by approximately 0.25 diopters (D) on average at all reading targets compared to LASIK eyes (
P
< .05). The undercorrection was greater when the magnitude of the preoperative cylinder exceeded 0.75 D (
P
< .05). The VA of LASIK and SMILE eyes was similar to normal eyes at all targets, but the TransPRK eyes were marginally inferior (
P
< .05). Only the ocular defocus changed differentially between the study groups during accommodation and the magnitude of change was least for TransPRK eyes (
P
< .05). However, postoperative near and intermediate accommodation of LASIK eyes were similar to normal eyes, followed by SMILE eyes and then TransPRK eyes.

CONCLUSIONS:

The refractive and aberrometric status of the LASIK eyes was closest to the normal eyes. The SMILE procedure may benefit from slight overcorrection of the preoperative refractive cylinder.

[
J Refract Surg.
2019;35(10):624–631.]
Meandering Main Pancreatic Duct in Association with Choledochal Cysts and Acute Pancreatitis in Pediatrics
Authors: Panchoo Arvind V. , Infante Juan C. , Rivera Rivera Edgardo D.
Published: October 2019

Meandering main pancreatic duct (MMPD) is an uncommon anomaly of the main pancreatic duct characterized by an abnormal curvature at the pancreatic head region. This variant can be diagnosed on imaging, particularly magnetic resonance cholangiopancreatography (MRCP). Although its clinical significance remains debatable, recent research suggests an association with recurrent acute pancreatitis. To our knowledge, no pediatric cases of acute or recurrent acute pancreatitis have been attributed to the presence of MMPD. In this article, we report on two patients. The first case is of a 15-year-old girl with MMPD discovered on investigation of idiopathic acute pancreatitis. The second case is of a 5-year-old boy who presented with his second episode of acute pancreatitis. In this patient, MRCP imaging revealed MMPD and type IVA choledochal cyst. With appropriate care, both patients experienced clinical improvement with resolution of abdominal pain. This article highlights MMPD as a distinct entity that should be considered in pediatric patients with recurrent attacks of acute pancreatitis. This report also describes the first association of MMPD with choledochal cysts.

[
Pediatr Ann.
2019;48(10):e412–e416.]