bluuebunny/crossref_metadata_2025 huggingface dataset:
Mcl-1 Interacts with Akt to Promote Lung Cancer Progression
Authors: Chen Guo , Park Dongkyoo , Magis Andrew T. , Behera Madhusmita , Ramalingam Suresh S. , Owonikoko Taofeek K. , Sica Gabriel L. , Ye Keqiang , Zhang Chao , Chen Zhengjia , Curran Walter J. , Deng Xingming
Published: October 2019

Mcl-1 is a unique antiapoptotic Bcl2 family protein that functions as a gatekeeper in manipulating apoptosis and survival in cancer cells. Akt is an oncogenic kinase that regulates multiple cellular functions and its activity is significantly elevated in human cancers. Here we discovered a cross-talk between Mcl-1 and Akt in promoting lung cancer cell growth. Depletion of endogenous Mcl-1 from human lung cancer cells using CRISPR/Cas9 or Mcl-1 shRNA significantly decreased Akt activity, leading to suppression of lung cancer cell growth in vitro and in xenografts. Mechanistically, Mcl-1 directly interacted via its PEST domain with Akt at the pleckstrin homology (PH) domain. It is known that the interactions between the PH domain and kinase domain (KD) are important for maintaining Akt in an inactive state. The binding of Mcl-1/PH domain disrupted intramolecular PH/KD interactions to activate Akt. Intriguingly, Mcl-1 expression correlated with Akt activity in tumor tissues from patients with non–small cell lung cancer. Using the Mcl-1–binding PH domain of Akt as a docking site, we identified a novel small molecule, PH-687, that directly targets the PH domain and disrupts Mcl-1/Akt binding, leading to suppression of Akt activity and growth inhibition of lung cancer in vitro and in vivo. By targeting the Mcl-1/Akt interaction, this mechanism-driven agent provides a highly attractive strategy for the treatment of lung cancer.

Significance:

These findings indicate that targeting Mcl-1/Akt interaction by employing small molecules such as PH-687 represents a potentially new and effective strategy for cancer treatment.
Metastatic Conditioning of Myeloid Cells at a Subcutaneous Synthetic Niche Reflects Disease Progression and Predicts Therapeutic Outcomes
Authors: Oakes Robert S. , Bushnell Grace G. , Orbach Sophia M. , Kandagatla Pridvi , Zhang Yining , Morris Aaron H. , Hall Matthew S. , LaFaire Petrina , Decker Joseph T. , Hartfield Rachel M. , Brooks Michael D. , Wicha Max S. , Jeruss Jacqueline S. , Shea Lonnie D.
Published: October 2019

Monitoring metastatic events in distal tissues is challenged by their sporadic occurrence in obscure and inaccessible locations within these vital organs. A synthetic biomaterial scaffold can function as a synthetic metastatic niche to reveal the nature of these distal sites. These implanted scaffolds promote tissue ingrowth, which upon cancer initiation is transformed into a metastatic niche that captures aggressive circulating tumor cells. We hypothesized that immune cell phenotypes at synthetic niches reflect the immunosuppressive conditioning within a host that contributes to metastatic cell recruitment and can identify disease progression and response to therapy. We analyzed the expression of 632 immune-centric genes in tissue biopsied from implants at weekly intervals following inoculation. Specific immune populations within implants were then analyzed by single-cell RNA-seq. Dynamic gene expression profiles in innate cells, such as myeloid-derived suppressor cells, macrophages, and dendritic cells, suggest the development of an immunosuppressive microenvironment. These dynamics in immune phenotypes at implants was analogous to that in the diseased lung and had distinct dynamics compared with blood leukocytes. Following a therapeutic excision of the primary tumor, longitudinal tracking of immune phenotypes at the implant in individual mice showed an initial response to therapy, which over time differentiated recurrence versus survival. Collectively, the microenvironment at the synthetic niche acts as a sentinel by reflecting both progression and regression of disease.

Significance:

Immune dynamics at biomaterial implants, functioning as a synthetic metastatic niche, provides unique information that correlates with disease progression.
MAP9 Loss Triggers Chromosomal Instability, Initiates Colorectal Tumorigenesis, and Is Associated with Poor Survival of Patients with Colorectal Cancer
Authors: Wang Shiyan , Huang Junzhe , Li Chuangen , Zhao Liuyang , Wong Chi Chun , Zhai Jianning , Zhou Yunfei , Deng Wen , Zeng Yong , Gao Shanshan , Zhang Yanquan , Wang Guoping , Guan Xin Yuan , Wei Hong , Wong Sunny H. , He Housheng H. , Shay Jerry W. , Yu Jun
Published: October 2019

Purpose:

Chromosomal instability (CIN) is a common phenomenon in colorectal cancer, but its role and underlying cause remain unknown. We have identified that mitotic regulator microtubule-associated protein 9 (MAP9) is a critical regulator of CIN in colorectal cancer. We thus studied the effect of MAP9 loss on colorectal cancer in Map9-knockout mice and in cell lines.

Experimental Design:

We generated colon epithelial–specific Map9-knockout mice and evaluated colorectal cancer development. Effect of Map9 knockout on colorectal cancer progression was determined in chemical or ApcMin/+-induced colorectal cancer. Molecular mechanism of MAP9 was determined using spectral karyotyping, microtubule assays, and whole-genome sequencing (WGS). Clinical significance of MAP9 was examined in 141 patients with CRC.

Results:

Spontaneous colonic tumors (9.1%) were developed in colon epithelium–specific Map9-knockout mice at 17 months, but none was observed in wild-type littermates. Map9 deletion accelerated colorectal cancer formation both in ApcMin/+ mice and azoxymethane-treated mice, and reduced survival in ApcMin/+ mice. Mechanistically, MAP9 stabilized microtubules and mediated mitotic spindle assembly. MAP9 also maintained the spindle pole integrity and protected K-fiber from depolymerization at spindle poles. MAP9 loss induced severe mitosis failure, chromosome segregation errors, and aneuploidy, leading to transformation of normal colon epithelial cells. WGS confirmed enhanced CIN in intestinal tumors from Map9 knockout ApcMin/+ mice. In patients with colorectal cancer, MAP9 was frequently silenced and its downregulation was associated with poor survival.

Conclusions:

MAP9 is a microtubule stabilizer that contributes to spindle stability and inhibits colorectal tumorigenesis, supporting the role of MAP9 as a tumor suppressor for preventing CIN in colorectal cancer.
UBE2C Is Upregulated by Estrogen and Promotes Epithelial–Mesenchymal Transition via p53 in Endometrial Cancer
Authors: Liu Yan , Zhao Rong , Chi Shuqi , Zhang Wei , Xiao Chengyu , Zhou Xing , Zhao Yingchao , Wang Hongbo
Published: October 2019

Ubiquitin-conjugating enzyme E2C (UBE2C) plays important roles in tumor progression; nevertheless, its function in endometrial cancer remains unclear. This study elucidated the impact of UBE2C on endometrial cancer and its underlying mechanism. Human endometrial cancer and normal endometrial tissues were acquired from patients at Wuhan Union Hospital and UBE2C expression was detected by Western blotting and qRT-PCR. Endometrial cancer cells were transfected with a UBE2C overexpression plasmid or UBE2C-specific short hairpin RNA (shRNA) to up- or downregulate UBE2C expression, respectively. CCK8 and transwell assays were applied to assess the effects of UBE2C on cell proliferation, migration, and invasion. We found a significant elevation of UBE2C expression in patients with endometrial cancer, and that UBE2C upregulation was associated with advanced histologic grade, FIGO stage, recurrence, and shorter overall survival. UBE2C knockdown inhibited endometrial cancer cell proliferation, migration, invasion, and epithelial–mesenchymal transition (EMT), whereas UBE2C overexpression exerted the opposite effects. UBE2C downregulation increased p53 and its downstream p21 expression, with p53 overexpression reversing the EMT-promoting effects of UBE2C. UBE2C enhanced p53 ubiquitination to facilitate its degradation in endometrial cancer cells. Estradiol (E2) induced UBE2C expression via estrogen receptor α, which binds directly to the UBE2C promoter element. Silencing of UBE2C inhibited E2-promoted migration, invasion, and EMT in vitro and in vivo.

Implications:

UBE2C-mediated tumor EMT promotion by estrogen is a novel mechanism for the progression of estrogen-induced endometrial cancer, which could offer new biomarkers for diagnosis and therapy of endometrial cancer in the future.
Combined Exosomal GPC1, CD82, and Serum CA19-9 as Multiplex Targets: A Specific, Sensitive, and Reproducible Detection Panel for the Diagnosis of Pancreatic Cancer
Authors: Xiao Dong , Dong Zhanjun , Zhen Linqing , Xia Guanggai , Huang Xinyu , Wang Tiezhong , Guo Huaibin , Yang Binhui , Xu Cheng , Wu Weiwei , Zhao Xiaoyu , Xu Hong
Published: October 2019

Pancreatic cancer is a highly lethal malignancy with poor prognosis due to the lack of early symptoms and resultant late diagnosis. Thus, it is extremely urgent to establish a simple and effective method for the early diagnosis of pancreatic cancer. Although some studies have provided positive evidence for the use of exosomal surface protein glypican-1 (GPC1) as a biomarker for early screening, its clinical application is still controversial. Here, we systematically verified the role of exosomal GPC1 as a potential screening biomarker. First, bottleneck problems of a stable detection method and an identification standard were systematically studied, and a Python-based standardized data processing method was established to analyze exosomal GPC1 expression. Second, a detection panel consisting of exosomal GPC1, exosomal cluster of differentiation 82 (CD82), and serum carbohydrate antigen 19-9 (CA19-9) was employed for pancreatic cancer detection. This panel exhibited excellent diagnostic results (AUC = 0.942) and could effectively distinguish healthy people from patients with pancreatic cancer (P value threshold = 0.2282) and patients with pancreatitis from patients with pancreatic cancer (P value threshold = 0.5467).

Implications:

These results indicate that the combined detection of exosomal GPC1, exosomal CD82, and serum CA19-9 shows great promise as a standard method for pancreatic cancer detection and that this panel could be further applied for screening pancreatic cancer in Chinese populations.
A Novel Pathogenic Variant in the CABP2 Gene Causes Severe Nonsyndromic Hearing Loss in a Consanguineous Iranian Family
Authors: Koohiyan Mahbobeh , Noori-Daloii Mohammad Reza , Hashemzadeh-Chaleshtori Morteza , Salehi Mansoor , Abtahi Hamidreza , Tabatabaiefar Mohammad Amin
Published: October 2019

Background and Objectives: Hereditary hearing loss (HL) can originate from mutations in one of many genes involved in the complex process of hearing. CABP2 mutations have been reported to cause moderate HL. Here, we report the whole exome sequencing (WES) of a proband presenting with prelingual, severe HL in an Iranian family. Methods: A comprehensive family history was obtained, and clinical evaluations and pedigree analysis were performed in the family with 2 affected members. After excluding mutations in the GJB2 gene and 7 other most common autosomal recessive nonsyndromic HL (ARNSHL) genes via Sanger sequencing and genetic linkage analysis in the family, WES was utilized to find the possible etiology of the disease. Results: WES results showed a novel rare variant (c.311G>A) in the CABP2gene.This missense variant in the exon 4 of the CABP2gene meets the criteria of being pathogenic according to the American College of Medical Genetics and Genomics (ACMG) interpretation guidelines. Conclusions: Up to now, 3 mutations have been reported for the CABP2gene to cause moderate ARNSHL in different populations. Our results show that CABP2variantsalso cause severe ARNSHL, adding CABP2to the growing list of genes that exhibit phenotypic heterogeneity. Expanding our understanding of the mutational spectrum of HL genes is an important step in providing the correct clinical molecular interpretation and diagnosis for patients.
Predictive Score for In-Hospital Mortality of Myasthenic Crisis: A Retrospective Chinese Cohort Study
Authors: Lv Zhiguo , Zhong Huahua , Huan Xiao , Song Jie , Yan Chong , Zhou Lei , Lu Jun , Zhu Wenhua , Lin Jie , Qiao Kai , Xu Yafang , Lu Jiahong , Xi Jianying , Luo Sushan , Zhao Chongbo
Published: October 2019

Introduction: Myasthenic crisis (MC) is a life-threatening condition usually occurred in patients with myasthenia gravis (MG). Objective: On the basis of a retrospective case series review, we try to develop a scoring system to evaluate the probability for in-hospital death in MC patients. Methods: We retrospectively reviewed 78 MC patients who were hospitalized from January 2014 to December 2018. Clinical and laboratory data including 17 variables were analyzed univariately. The main clinical outcome was defined as the in-hospital death. Then eligible variables were evaluated by a stepwise multivariate regression and a scoring system was then generated. Calibration and discrimination methods were used to evaluate and validate the model performance. Results: The overall in-hospital mortality was 11.5% (9/78) in the MC cohort. Five clinical variables including Myasthenia Gravis Foundation of America (MGFA) classification at onset, septic shock, thymoma classification, cardiac arrest, and the lowest serum albumin were found to be associated with in-hospital mortality. Further 3 variables entered the final regression, and internal validation showed that the area under the curve was 0.919 (95% CI 0.788–1.000). A scoring system with a full credit of 7 points was generated to predict the in-hospital mortality (MGFA at onset, 2 points; septic shock, 4 points; and cardiac arrest, 3 points). Conclusions: A 7-point scoring model was established on the basis of a retrospective review of MC patients to predict the in-hospital mortality.
Immune-Related Pancytopenia Induced by Anti-PD-1 Therapy – Interrupt or Continue Treatment – The Role of Immunohistochemical Examination
Authors: Cybulska-Stopa Bożena , Gruchała Andrzej , Niemiec Maciej
Published: October 2019

Immune checkpoint inhibitors (ICIs), including anti-cytotoxic T-lymphocyte antigen 4 (anti-CTLA-4) and anti-programmed death receptor-1/ligand-1 (anti-PD-1/anti-PD-L1) caused a breakthrough in oncology and significantly improved therapeutic outcomes in cancer patients. ICIs generate a specific reaction in T cells, directed against antigens on cancer cells, leading to their damage and death. Through similar or the same antigens, activated lymphocytes may also have a cytotoxic effect on healthy cells, causing development of specific adverse effects – so-called immune-related adverse events (irAEs). We present the case report of a 56 year old patient with disseminated melanoma. During treatment with immunotherapy (anti PD-1), neutropenic fever and pancytopenia occurred. Trepanobiopsy of the bone marrow was performed to determine the cause of pancytopenia. Histopathological assessment of bone marrow combined with immunophenotype investigations may explain the cause of hematological disorders occurring in the course of treatment with ICIs, and support the choice of an appropriate treatment, directly translated into positive outcomes.
Small-signal modeling of current-mode controlled modular DC-DC converters using the state-space algebraic approach
Authors: Radaydeh Nuha M. , Al-Mothafar M. R. D.
Published: October 2019

Small-signal models are useful tools to preliminary understand the dynamics of interconnected systems like modular dc-dc converters which find a wide range of industrial applications. This work proposes a state-space-based averaged small-signal model in symbolic form for a peak current-mode controlled parallel-input/parallel-output buck converter operating in the continuous-conduction mode. In modeling the converter power-stage each module is independently represented. For modeling the current-mode control the state-space algebraic approach is used to incorporate the current-mode control-law into the power-stage equations. For each module two parasitic elements in addition to the current-loop sampling action are included in the derivation. Furthermore, the control-to-output voltage transfer functions are presented in symbolic form for two cases of interest: the first when the converter has two non-identical modules to study the effect of inductor mismatch, and the second when the converter is composed of n-connected identical modules to assess the effect of varying the number of modules. All responses from PSIM cycle-by-cycle simulations are in good agreement with the mathematical model predictions up to half the switching frequency.
Overview on recent photovoltaic module cooling methods: advances PVT systems
Authors: Shahirah Binti Rukman Nurul , Fudholi Ahmad , Taslim Ivan , Indrianti Merita Ayu , Manyoe Intan Noviantari
Published: October 2019

Renewable energy had been monopolized the research area in these past decade up till nowadays, due to its reliability and future in global production of electrical and thermal energy. Narrowing down the scope to the photovoltaic thermal (PVT) system, lots of improvements had been implied both theoretically and experimentally. One of the most attractive applications of PVT water or air-based collectors is building integrated photovoltaic thermal (BIPVT) system, which has undergone rapid developments in recent years. This review paper comprises the research findings on the improvements that had been integrated by PVT systems as well as well as personal and cited remarks on advancements on cooling techniques on PVT system.
Performance analysis of transformation and Bogdonov chaotic substitution based image cryptosystem
Authors: S. N. Prajwalasimha , L Basavaraj
Published: October 2019

In this article, a combined Pseudo Hadamard transformation and modified Bogdonav chaotic generator based image encryption technique is proposed. Pixel position transformation is performed using Pseudo Hadamard transformation and pixel value variation is made using Bogdonav chaotic substitution. Bogdonav chaotic generator produces random sequences and it is observed that very less correlation between the adjacent elements in the sequence. The cipher image obtained from the transformation stage is subjected for substitution using Bogdonav chaotic sequence to break correlation between adjacent pixels. The cipher image is subjected for various security tests under noisy conditions and very high degree of similarity is observed after deciphering process between original and decrypted images.
Side lobe reduction in array antenna by using novel design of EBG
Authors: Abdulhameed Muhannad Kaml , Isa M. S. Mohamad , Ibrahim I. M. , Zakaria Z. , Mohsen Mowafak K. , Attiah Mothana L. , Dinar Ahmed M.
Published: October 2019

A novel design of EBG is used to replace the mushroom like EBG for surrounding the array patch antenna. In order to improve its radiation performances, Electromagnetic band stop for reducing the surface waves effects is presented. The novel design of Triple Side Slotted EBG (TSSEBG) showed an improvement in the antenna efficiency, directivity and gain as compared to the reference antenna without using EBG, due to reduce the surface waves effects which leads to decrease the side lobes. TSSEBG has been introduced by some modifications in conventional mushroom-like EBG structure. Reducing the complexity was achieved by reducing the number of unit cells and vias, in case of used TSSEBG instead of mushroom like EBG. Additionally, the TSSEBG provided triple band gap compared with mushroom like EBG structure which had only one band gap frequency at 6 GHz. The placement of TSSEBG is a flexible structure which provides a good choice in the antenna applications. The simulation results of array patch antenna with and without mushroom like EBG and TSSEBG are arranged in Table 1. This structure has vast applications in satellite communications.
Node clone detection using a stable overlay network
Authors: Chelliah Balika J. , Vigil M. S. Antony , Praba M. S. Bennet
Published: October 2019

Wireless sensor networks consist of number of sensor nodes widely distributed in particular region to communicate and sharing the environmental information and also these data’s are stored in central location for further data prediction. Such nodes are susceptible to cloning attack where the adversary captures a node, replicates with the same identity as that of the captured node and deploys the clone back into the network, causing severe harm to the network. Hence to thwart such attacks, a distributed detection protocol is used with initiator-observer-inspector roles assigned randomly for the nodes to witness the clone and thereby broadcast the evidence through a balanced overlay network. Use of such balanced network provides high security level and reduces the communication cost when compared to other overlay networks with a reasonably less storage consumption.
A survey of data recovery on flash memory
Authors: Tran Van Dai , Park Dong-Joo Park
Published: October 2019

In recent years, flash memory has become more widely used due to its advantages, such as fast data access, low power consumption, and high mobility. However, flash memory also has drawbacks that need to be overcome, such as erase-before-write, and the limitations of block deletion. In order to address this issue, the FTL (Flash Translation Layer) has been proposed with useful functionalities like address mapping, garbage collection, and wear-leveling. During the process of using, the data may be lost on power failure in the storage systems. In some systems, the data is very important. Thus recovery of data in the event of the system crash or a sudden power outage is of prime importance. This problem has attracted attention from researchers and many studies have been done. In this paper, we investigate previous studies on data recovery for flash memory from FTL processing solutions to PLR (Power Loss Recovery) solutions that have been proposed by authors in the conference proceeding, patents, or professional journals. This will provide a discussion of the proposed solutions to the data recovery in flash memory as well as an overview.
Sinc Collocation Linked with Finite Differences for Korteweg-de Vries Fractional Equation
Authors: Al-Khaled Kamel
Published: October 2019

A novel numerical method is proposed for Korteweg-de Vries
Fractional Equation. The fractional derivatives are described based
on the Caputo sense. We construct the solution using different
approach, that is based on using collocation techniques. The method combining a finite difference approach in the time-fractional
direction, and the Sinc-Collocation in the space direction, where
the derivatives are replaced by the necessary matrices, and a system of algebraic equations is obtained to approximate solution of the problem.  Some numerical results are shown to demonstrate the efficiency of the newly proposed method. The numerical results are shown to demonstrate the efficiency of the newly proposed method. Easy and economical implementation is the strength of this method.
Fault Location Effect on Short-Circuit Calculations of a TCVR Compensated Line in Algeria
Authors: Zellagui Mohamed , Hassan Heba Ahmed , Chaghi Abdelaziz
Published: October 2019

This research work investigated the effect of fault location on short-circuit calculations for a high voltage transmission line equipped with a novel FACTS device, namely Thyristor Controlled Voltage Regulator (TCVR). This main function of this device was to control the voltage and active power of the line. The paper considered a study case for a 220 kV transmission line, in the Algerian transmission power network, which was subjected to a phase to earth fault in the presence of a fixed fault resistance. The paper presented theoretical analysis of the short-circuit calculations which was confirmed by the illustrated simulation results. Simulation results showed the impact of the fault location on the symmetrical current and voltage components of the line, and transmission line phase currents and voltages; before using TCVR and in the presence of TCVR for both cases of positive and negative TCVR controlled voltage.
Performance Analysis of Transmit Antenna Selection with MRC in MIMO for Image Transmission in Multipath Fading Channels Using Simulink
Authors: Hendre Vaibhav S , Murugan M , Kamthe Sneha
Published: October 2019

Multiple antenna configurations can be used to increase the data throughput reducing the effects of multipath fading and interference when channel bandwidth is limited. Orthogonal Space Time Block Codes along with Transmit antenna selection can improve the performance of multiple input multiple output systems. In this paper, we present the Transmit Antenna Selection (TAS) technique based on the Maximal Ratio Combining (MRC) scheme with single antenna selection for image transmission. The performance analysis of the system was carried out under different fading channels i.e. Rayleigh and Rician channel for image input. We design end to end TAS/MRC system in Simulink with advancements in the channel designs and receive diversity techniques along with the feedback models. The Bit Error Rate (BER) analysis was performed for the combinations of number of transmit and receive antennas for TAS/MRC system for various fading environments.
Decision Support System for the Selection of Courses in the Higher Education using the Method of Elimination Et Choix Tranduit La Realite
Authors: Sudarma Made , Oka Sudana Anak Agung Kompiang , Cahya Irwansyah
Published: October 2019

Each year thousands of prospective students attend new student enrollment in universities, which each prospective student have determined the courses that wish to be studied in college. Most of prospective student choose the courses only based on the number of enthusiasts and wishes of parents, and are not based on their academic ability. The impact of this phenomenon is that many of the prospective students chosen to switch courses and not a few of them have been punished dropout. This problem can be solved through the creation of decision support system that has an ability to suggest suitable courses to be selected by the prospective student based on their academic ability. This decision support system solved the problem using the method of elimination et choix tranduit la realite which is presented in web-based application to raise the accessibility by the prospective student.
Software Development of Automatic Data Collector for Bus Route Planning System
Authors: Brata Adam Hendra , Liang Deron , Pramono Sholeh Hadi
Published: October 2019

Public transportation is important issue in Taiwan. Recently, mobile application named Bus Route Planning was developed to help the user to get information about public transportation using bus. But, this application often gave the user inaccurate bus information and this application has less attractive GUI. To overcome those 2 problems, it needed 2 kinds of solutions. First, a more accurate time prediction algorithm is needed to predict the arrival time of bus. Second, augmented reality technology can be used to make a GUI improvement. In this research, Automatic Data Collector system was proposed to give support for those 2 solutions at once. This proposed system has 3 main functionalities. First, data collector function to provide some data sets that can be further analyzed as an base of time prediction algorithm. Second, data updater functions to provide the most updated bus information for used in augmented reality system. Third, data management function to gave the system better functionality to supported those 2 related systems. This proposed Automatic Data Collector system was developed using batch data processing scenario and SQL native query in Java programming language. The result of testing shown this data processing scenario was very effective to made database manipulation especially for large-sized data.
Impact of Harmonics on Power Quality and Losses in Power Distribution Systems
Authors: Ghorbani M. Jawad , Mokhtari Hossein
Published: October 2019

This paper investigates the harmonic distortion and losses in power distribution systems due to the dramatic increase of nonlinear loads. This paper tries to determine the amount of the harmonics generated by nonlinear loads in residential, commercial and office loads in distribution feeders and estimates the energy losses due to these harmonics. Norton equivalent modeling technique has been used to model the nonlinear loads. The presented harmonic Norton equivalent models of the end user appliances are accurately obtained based on the experimental data taken from the laboratory measurements. A 20 kV/400V distribution feeder is simulated to analyze the impact of nonlinear loads on feeder harmonic distortion level and losses. The model follows a “bottom-up” approach, starting from end users appliances Norton equivalent model and then modeling residential, commercial and office loads. Two new indices are introduced by the authors to quantize the effect of each nonlinear appliance on the power quality of a distribution feeder and loads are ranked based on these new defined indices. The simulation results show that harmonic distortion in distribution systems can increase power losses up to 20%.
Asymmetric Coplanar F-strip Fed Antenna for Dual Band Wireless Applications
Authors: Abbas Ansal Kalikuzhackal , Shanmuganatham Thangavelu
Published: October 2019

A compact planar antenna for dual band applications is presented in this paper. The proposed antenna has Dumbbell shaped defect on the ground plane and it is fed by Asymmetric coplanar strip(ACS). The antenna is printed on FR4 epoxy substrate and it has a compact size of 21× 19 × 1.6 mm3. The antenna exhibits a dual band of resonances at 3.4GHz and 5.5 GHz which is used for WiMAX/WLAN. The planar design, simple feeding techniques and compactness make it easy for the integration of the antenna into circuit boards. Details of the antenna design and simulated results are presented and discussed. Simulation tool, based on the method of moments (Mentor Graphics IE3D version 15.10) has been used to analyze and optimize the antenna. Various features such as compactness, simple con-figuration and low fabrication cost make the antenna is suitable for dual band wireless applications.
Detection of Atrial Fibrillation using Autoregressive modeling
Authors: Padmavathi Kora , Ramakrishna K.Sri
Published: October 2019

A‎atrial fibrillation (AF) is the arrhythmia that commonly causes death in the adults. We measured AR coefficients using Burg’s method for each 15 second segment of ECG. These features are classified using the different statistical classifiers: kernel SVM and KNN classifier. The performance of the algorithm was evaluated on signals from MIT Physionet database.. The effect of AR model order and data length was tested on the classification results. This method shows better results can be used for practical use in the clinics.‏
IQ Classification via Brainwave Features: Review on Artificial Intelligence Techniques
Authors: Jahidin Aisyah Hartini , Taib Mohd Nasir , Md Tahir Nooritawati , Megat Ali Megat Syahirul Amin
Published: October 2019

Intelligence study is one of keystone to distinguish individual differences in cognitive psychology. Conventional psychometric tests are limited in terms of assessment time, and existence of biasness issues. Apart from that, there is still lack in knowledge to classify IQ based on EEG signals and intelligent signal processing (ISP) technique. ISP purpose is to extract as much information as possible from signal and noise data using learning and/or other smart techniques. Therefore, as a first attempt in classifying IQ feature via scientific approach, it is important to identify a relevant technique with prominent paradigm that is suitable for this area of application. Thus, this article reviews several ISP approaches to provide consolidated source of information. This in particular focuses on prominent paradigm that suitable for pattern classification in biomedical area. The review leads to selection of ANN since it has been widely implemented for pattern classification in biomedical engineering. 
Social Network Applications and Free Online Mobile Numbers: Real Risk
Authors: Dadkhah Mehdi , Sutikno Tole , Shamshirband Shahaboddin
Published: October 2019

Social network applications are being more widely used among users and new types of such applications are created by developers. Almost all users who use smart phones are users of such application. Major concern in these applications is privacy and security. We can name WhatsApp, Viber, Facebook, Telegram, Line, WeChat and Beetalk as the most popular applications. There are also websites which provide online numbers in order to receive SMS. The goal of this website is providing anonymous virtual phone number to protect users from spam. Also these sites provide different number from different countries and let people to can use them for different application. The services of these websites are divided into two groups: subscription services in which a unique number is assigned to the user by charging him/her and free services in which user can see the received messages of some online numbers without any registration.
A Novel Method for Frequency Estimation Considering Instrument Transient Effect
Authors: Tajdinian Mohsen , Zareian Jahromi Mehdi , Jalalpour Mojtaba
Published: October 2019

Large disturbances in power systems cause deviation in the frequency from the nominal value. Since the frequency is an important factor in the electrical network parameter measurements, it can cause malfunction of the protection system. In addition, Because of decaying DC and oscillatory components that introduced by CCVT in response of voltage variation during the fault occurrence, cause changes in the value of received voltage of primary side of CCVT. An improved least square method for estimating frequency is presented in this paper. In order to reduce the effect of this transient component, phasor estimation method has been improved by using the least square technique and utilizing knowledge of CCVT design. The capability of the proposed method was verified by several case studies generating signals in PSCAD/EMTDC. The results show the accuracy, speed and capability of the proposed method
Simplified Method for Single Line to Ground-Fault Location in Electrical Power Distribution Systems
Authors: Zahri Mustapha , Menchafou Youssef , El Markhi Hassane , Habibi Mohamed
Published: October 2019

Power distribution systems play important roles in modern society. When distribution system outages occur, speedy and precise fault location is crucial in accelerating system restoration, reducing outage time and significantly improving system reliability, and then improves the quality of services and customer satisfaction. In this paper, we propose a reduced algorithm utilizing the sum of sending-end currents of the three phases to calculate the fault current, and therefore, avoid the iterative aspect of the classic algorithm for single line to ground fault location and reduce its computational charge. The test results are obtained from the numerical simulation using the data of a distribution line recognized in the literature.
Improvement of Step Tracking Algorithm Used for Mobile Receiver System via Satellite
Authors: Hoi Tran Van , Truong Nguyen Xuan , Duong Bach Gia
Published: October 2019

In the mobile communication via satellite, received systems are mounted on the mobile device such as ship, train, car or airplane. In order to receive continuous signals, received antenna system must be steered in both the azimuthal and elevation angle to track a satellite. This paper proposes the improved step-tracking algorithm using for mobile receiver system via satellite Vinasat I. This paper also presents the results of study, design and manufacture of the discrete-time controller system for the fast tracking of a satellite by applying an improved step tracking algorithm with fuzzy proportional integral derivative proportional integral derivative  controller. Simulated and experimental results indicate that the system performances obtain from applying the improved step tracking algorithm and the fuzzy controller was better than traditional control systems.
A Novel Spectral Clustering based on Local Distribution
Authors: Mandal Jyotsna Kumar , Roy Parthajit
Published: October 2019

This paper proposed a novel variation of spectral clustering model based on a novel affinitymetric that considers the distribution of the neighboring points to learn the underlayingstructures in the data set. Proposed affinity metric is calculated using Mahalanobis distancethat exploits the concept of outlier detection for identifying the neighborhoods of the datapoints. RandomWalk Laplacian of the representative graph and its spectra has been consideredfor the clustering purpose and the first k number of eigenvectors have been consideredin the second phase of clustering. The model has been tested with benchmark data and thequality of the output of the proposed model has been tested in various clustering indicesscales.
A New Hybrid Artificial Neural Network Based Control of Doubly Fed Induction Generator
Authors: Gopala Venu Madhav , Y.P. Obulesu
Published: October 2019

In this paper, Hybrid Artificial Neural Network (ANN) with Proportional Integral (PI) control technique has been developed for Doubly Fed Induction Generator (DFIG) based wind energy generation system and the performance of the system is compared with NN and PI control techniques. With the increasing use of wind power generation, it is required to instigate the dynamic performance analysis of Doubly Fed Induction Generator under various operating conditions. In this paper, three control techniques have been proposed, the first one is using PI controller, the second one is ANN control, and the third one is based on combination of ANN and PI. The performance of the proposed control techniques is demonstrated through the results, determined by using MATLab/Simulink. From the results it is observed that the dynamic performance of the DFIG is improved with the Hybrid control technique.
Modeling and Simulation of Triple Coupled Cantilever Sensor for Mass Sensing Applications
Authors: Siddaiah Nalluri , Reddy D.V. Rama Koti , Sankar Y. Bhavani , Kumar R. Anil , Pakdast Hossein
Published: October 2019

Cantilever sensors have been the growing attention in last decades and their use as a mass detector. This work presents design, modeling and analysis of Triple coupled cantilever(TCC) sensor using MEMS simulation software Comsol Multiphysics with critical  dimensions of 100μm length,20μm width and 2μm thickness. Simulations were performed based on finite element modeling techniques, where different resonant frequencies were observed for different modes of operation. It is also observed that the resonant frequency of the sensor decreases as some mass is applied on one particular cantilever. The various parameters greatly affecting the performance of TCC such as resonant frequency, dimensions, material and pressure or force applied on it.we also observed that while adding some mass on any one lateral cantilever, the resonant frequency of that respective mode reduced.
PID Controller Design for Two Tanks Liquid Level Control System Using Matlab
Authors: Fellani Mostafa Abdul , M. Gabaj Aboubaker
Published: October 2019

The industrial application of Coupled Tank System (CTS) is widely used especially in chemical process industries. The control of liquid level in tanks and flow between tanks is a problem in the process technologies. The process technologies require liquids to be pumped, stored in tanks, and then pumped to another tank systematically. This paper presents development of Proportional-Integral-Derivative (PID) controller for controlling the desired liquid level of the CTS. Various conventional techniques of PID tuning method will be tested in order to obtain the PID controller parameters. Simulation is conducted within MATLAB environment to verify the performances of the system in terms of Rise Time (Ts), Settling Time (Ts), Steady State Error (SSE) and Overshoot (OS). The trial and error method of tunning will be implemented and all the performance results will be analyzed using MATLAB. It has been demonstrated that performances of CTS can be improved with appropriate technique of PID tuning methods.
Improved Rejection Penalty Algorithm with Multiprocessor Rejection Technique
Authors: Satpathy Prativa , Das Kalyan , Padhi Jagamohan
Published: October 2019

This paper deals with multiprocessor scheduling with rejection technique where each job is provided with processing time and a given penalty cost. If the job satisfies the acceptance condition, it will schedule in the least loaded identical parallel machine else job is rejected. In this way its penalty cost is calculated. Our objective is to minimize the makespan of the scheduled job and to minimize the sum of the penalties of rejected jobs. We have merged ‘CHOOSE ‘and ‘REJECTION PENALTY’ algorithm to reduce the sum of penalties cost and makespan. Our proposed ‘Improved Reject penalty algorithm’ reduce competitive ratio, which in turn enhances the efficiency of the on-line algorithm. By applying our new on-line technique, we got the lower bound of our algorithm is is 1.286 which is far better from the existing algorithms whose competitive ratio is at 1.819. In our approach we have consider non-preemption scheduling technique.
Software for Simplifying Embedded System Design Based on Event-Driven Method
Authors: Abdurohman Maman , Sasongko Arif
Published: October 2019

Complexity of embedded system application increases along with the escalation of market demand. Embedded system design process must be enhanced to face design complexity problem. One of challenges in designing embedded system is speed, accuracy, and flexibility. The design process is usually conducted recursively to fulfill requirement of user and optimization. To solve this problem, it needs a system design that is flexible for adaptation. One of solutions is by optimizing all or some of the design steps. This paper proposes a design framework with an automatic framework code generator with of event driven approach. This software is a part of a design flow which is flexible and fast. Tron game and simple calculator are presented as a case study. Test result shows that this framework generator can increase speed of design’s flexibility.
A Spanning Tree Approach in Placing Multi-channel and Minimum Channel PMU’s for Power System Observability
Authors: Mandava Srihari , J Vanishree , V Ramesh
Published: October 2019

Synchronized phasor measurements have become the measurement technique of choice for electric power systems. They provide positive sequence voltage and current measurements synchronized to within a microsecond. The objective is to use the spanning tree approach and tree search technique for optimal placement of multichannel and minimum channel synchronized phasor measurement units (PMUs) in order to have full observability of Power System. The novel concept of depth of observability is used and its impact on the number of PMU placements is explained.  The spanning tree approach is used for the power system graphs and a tree search technique is used for finding the optimal location of PMUs. This is tested on IEEE-14 and IEEE-30 bus system. The same technique is modified to optimally place minimum channel PMUs on the same IEEE-14 and IEEE-30 bus systems. Matlab tool has been used for fulfilling the objective.
Implementation of Cloth Simulation Using Parallel Computing on Mobile Device
Authors: Jeon JaeHong , Min Se Dong , Hong Min
Published: October 2019

Physically based modeling and simulation is an important technique for deformable object simulation, which is widely used to represent the realistic shape change and movement of objects for mobile game or 3D simulation. However, they require the high computational cost for representing the physical phenomenon on deformable objects when it applied on mobile device. In this paper, we designed and implemented the cloth simulation for deformable object simulation using the parallel technique on mobile device to optimize the computational burden. We especially applied GPU parallel technique for the integration solving process such as Euler, Midpoint, 4th-order Runge-Kutta method to estimate the particles' next status using positions and velocities. Also we applied multi-thread parallel technique for calculating the spring force. Then we compared the performance of each integration methods between under only CPU and CPU with GPU on mobile device. Also we compared the computing time of spring calculation between only CPU and using CPU multi-thread.
Toward Content-Aware Video Partitioning Methods for Distributed HEVC Video Encoding
Authors: Jeon Myunghoon , Lee Byoung-Dai
Published: October 2019

Recently, cloud computing has emerged as a potential platform for distributed video encoding due to its advantages in terms of costs as well as performance. For distributed video encoding, the input video must be partitioned into several segments, each of which is processed over distributed resources. This paper describes the effect of different video partitioning schemes on overall encoding performance in the distributed encoding of High-Efficiency Video Coding (HEVC). In addition, we explored performances of video partitioning schemes on the basis of the types of the content to be encoded
Application-level Communication Services for Development of Social Networking Systems
Authors: Lee Yunjin , Lim Mingyu , Moon Yangchan
Published: October 2019

In this paper, we present our communication middleware (CM), which is designed to reduce the effort of developing common communication functionalities for social networking services (SNSs) in the client-server model. SNS developers can apply the application-level communication services of CM both to an SNS server and to client applications simply by calling application programming interfaces (APIs) and configuring various options related to communication services. CM was developed to enable SNS developers to easily build fundamental services such as transmission of a user-defined event, user membership and authentication management, friend management, content upload and download with different numbers of attachments, chat management, and direct file transfer. All of the communication services also provide options that a developer can customize according to his or her SNS requirements.
Probabilistic Road-Aware Geocast In VANETs
Authors: Amjad Zubair , Song Wang-Cheol
Published: October 2019

Geocast is a communication technique to disseminate information in specific geographic regions instead of node addresses. Traffic congestion, accidents, local hazards and digital content sharing are potential use cases of information sharing in VANETs. Recently, several approaches for geocast routing have been proposed to achieve high delivery ratios. These approaches consider a center point and radius to define the destination region also called geocast region. They focus only on routing scheme to enhance the delivery ratio and delays. However, these approaches do not consider the target region selection problem in the geocast routing. In this paper, we propose a novel application-level mechanism for sharing road conditions, such as accidents, detours and congestion in VANETs through probabilistic road-aware geocast routing. We assign probabilities to the roads around each intersection in the neighborhood road network of the source vehicle. We then build a spanning tree of roads (from graph representation of the road network) with information source as the root node. Nodes below the root represent junctions and edges represent inter-connecting road segments. Messages propagate along the branches of the spanning tree. The spanning tree represents the geocast region. As the information propagates down the branches, probability of road as geocast region decreases. Information is propagated until a threshold probability is reached. Our method also ensures that messages are not delivered to irrelevant vehicles irrespective of their proximity to the source. We evaluate our application through extensive and realistic simulations in ns-3 simulator using IDM car following and MOBIL lane change models for realistic modeling of vehicle mobility.