Block Mode Research Articles

An Empirical Study of Students’ Perception of and Key Factors Affecting Overall Satisfaction in an Intensive Block Mode and Flipped Classroom

Results of recent studies have suggested that intensive methods of delivery might improve engagement, attendance, and achievement for students from diverse backgrounds. Contributing to this area of inquiry, this study assesses how students perceived their experience studying a certificate course that was delivered in an online intensive block mode and flipped classroom (BMFC), pedagogy amidst COVID-19 restrictions. The subjects were students enrolled at Melbourne Institute of Technology between July 2021 and January 2022 across four certificate courses, three at postgraduate and one at undergraduate level. These certificate courses differed from normal degree courses in several aspects: (a) a shorter 4-week (undergraduate) or 5-week (postgraduate), instead of a 12-week duration, (b) subjects were taken sequentially instead of concurrently as in a normal semester, (c) taught using an online flipped classroom rather than the in-class approach, and (d) open to both high-school leavers and mature aged students who did not study full-time. A questionnaire involving 10 perception-based questions was used to survey students’ satisfaction with the BMFC delivery, in relation to their learning and engagement experience. The mean, median, and mode calculated from the responses revealed that students regarded the BMFC approach as more satisfied than not on a 5-star rating scale in 7 out of the 10 questions. This is further supported by high correlations among the questions (the lowest at r = 0.48 and the highest at r = 0.87). Multiple regression analysis using the first nine questions as predictors of the 10th question (overall satisfaction) revealed that six of these are statistically significant predictors (p < 0.05) of the overall satisfaction, implying that an increase in the overall satisfaction can potentially be achieved by improving these key factors of the BMFC delivered certificate courses. Our findings correlate with existing research that student learning and engagement might be improved by intensive modes of delivery. Furthermore, the BMFC pedagogy proposed in our study differentiates us from existing research, where block scheduling was used only in a face-to-face delivery in pre COVID-19 environment. Our study, therefore, contributes a novel delivery method for learning and teaching that is suitable for both online and face-to-face mode in a post COVID-19 era.

Analysis and Simulation of Overmodulation Modes of a Three-Inverter Block of the Photovoltaic Installation

The purpose of this work is to modernize the control scheme of a transformer-based photovoltaic system with three inverters controlled by the modified algorithms of synchronous spacevector PWM in order to ensure linear regulation of the system in the overmodulation zone of the inverter block in the process of forming a symmetrical and synchronized (with the operating frequency of the system) voltage on the inverter-side windings of a power transformer. This goal is achieved by the fact that the process of two-stage control of the system in the zone of overmodulation of inverters is carried out on the basis of synchronized phase shifts between the control signals of inverters (a constant phase shift, as well as an additional adjustable phase shift between the inverter signals as a function of the duration of clock subintervals), with an appropriate modification of the algorithms of synchronous PWM of inverters due to the inclusion of two specialized correction factors in the basic functional dependencies. The most significant results of the work include the fact that in a system with a modified control scheme and modulation of the inverter block in the overmodulation zone, the resulting voltage on the inverter-side windings of the power transformer is characterized by quarterwave symmetry, and its spectrum contains no even-order harmonics, as well as subharmonics, including regimes of fluctuations in the operating frequency of the system connected to a three-phase network, thereby helping to reduce losses in the transformer windings and improve the efficiency of photovoltaic systems.

Seismic behavior comparison of the post-tensioned unbonded prefabricated retaining blocks for highway bridges

Sacrificial concrete shear keys have been recommended and used widely because they can restrain the excessive displacement of the bridge superstructure under normal service loads and protect the substructures from severe damage under the huge earthquake event, whereas the post-earthquake rehabilitation of the traditional shear key (regain its original function) is still a big challenge for bridge engineers. Therefore, this study proposed a replaceable concrete retaining block as an alternative that can provide mostly the same functionality as the sacrificial shear keys. The proposed replaceable concrete retaining block is prefabricated and installed to the cap beam by using the unbonded prestressed tendons. To study the functional feasibility and seismic behavior of the replaceable retaining block, four specimens with identical size were designed and tested under the horizontal monodirectional and cyclical load. The influence of structural materials and forms on seismic failure modes of different blocks was investigated based on both laboratory tests and finite element analysis. It is concluded that the failure modes of the monolithic normal concrete (NC) and the ultra-high-performance-concrete (UHPC) retaining block are the typical diagonal shear failure and the vertical interface damage, respectively. The replaceable NC retaining block performs well in lateral displacement and self-resetting ability, but its final damage is still the unpredictable bending-shear failure mode. The replaceable UHPC retaining block can keep only slight damage but simultaneously satisfy the requirements of higher lateral bearing and displacement capacity. Especially, the self-resetting capacity of the replaceable UHPC retaining block will be greatly improved if the straight joint is used instead of the original mortise-tenon joint.

UPAYA PENANGGULANGAN TERHADAP TINDAK PIDANA PENCURIAN MODUS GANJAL ANJUNGAN TUNAI MANDIRI (ATM)

One of the Bank's services is the launch of an ATM card (Automated Teller Machine). Literally ATM can be interpreted as an automatic cash register or often called an Automated Teller Machine which means an automatic cash register without a person, placed inside or outside the bank's yard that can issue cash and handle routine banking transactions, such as depositing, withdrawing money, transfer between accounts, settlement or payment of credit card bills. However, at this time many ATM facilities provided by the Bank have been misused by criminals to commit crimes, one of which is the wedge trick mode, this wedge trick is an ATM card entered by a customer who is inserted into this ATM can enter but will be difficult to get out. as if the ATM card was swallowed by the machine even though it was only stuck, this crime with the jamming mode can be classified as a criminal act of theft by violating the provisions of Article 363 of the Criminal Code. The problem approach in this study uses a normative approach, which is done by approaching the problem from a legal perspective, discussing and then reviewing books, statutory provisions and those related to the problems to be discussed. The results of the study concluded that efforts to overcome the crime of theft of the Automated Teller Machine (ATM) block mode by the West Lampung Police are through penal efforts (criminal law) and non-penal efforts (not / outside of criminal law), in addition to efforts made by the Police West Lampung in this response is carried out by increasing the activity of raids, patrols and guarding, but only when a crime occurs, does not involve the surrounding community and parties from the Bank and there is no cooperation with other parties and the West Lampung Police officers are inconsistent in carrying out operations/patrols. to prevent the most likely crime of theft by breaking into Automated Teller Machines (ATM). The inhibiting factors are internal factors and external factors, where internal factors include law enforcement itself. The imbalance of the rules used makes these crimes still increase from year to year. External factors include the lack of care and awareness from the public who do not report to the police. In addition to other inhibiting factors, namely the law that regulates it, law enforcement officers and legal culture factors.

Single-Nanoparticle Collision Electrochemistry Biosensor Based on an Electrocatalytic Strategy for Highly Sensitive and Specific Detection of H7N9 Avian Influenza Virus.

Single-nanoparticle collision electrochemistry (SNCE) has gradually become an attractive analytical method due to its advantages in analytical detection, such as a fast response, low cost, low sample consumption, and in situ real-time detection of analytes. However, the biological analyte's direct detection based on the SNCE blocking mode has the problems of low sensitivity and specificity. In this work, an SNCE biosensor based on SNCE electrocatalytic strategy was used for the detection of H7N9 AIV. Nucleic acid aptamers were introduced to recognize the target virus (H7N9 AIV). After the recognition event, ssDNA1 was released and hybridized with another ssDNA2. Owing to the nicking endonuclease Nt.AlwI-mediated target nucleic acid cyclic amplification, one virus particle can indirectly induce the release of 4.2 × 106 Au NPs that can be counted by the SNCE electrocatalytic strategy. The high conversion efficiency greatly improved the detection sensitivity, and the detection limit was as low as 24.3 fg/mL. Therefore, the constructed biosensor can achieve a highly sensitive and specific detection of H7N9 AIV and show a great potential in bioanalytical application.

Experimental Study on Deformation Properties of Basalt Fiber Reinforced Recycled Aggregate Concrete

In this paper, the effects of different substitution rates and basalt fiber (BF) contents on the deformation properties of recycled aggregate concrete (RAC) are studied, and the correlation degree of the changing parameters on the deformation properties of basalt fiber reinforced recycled aggregate concrete (BFRAC) is evaluated by gray correlation analysis. A total of 48 cylindrical test blocks are designed in this experiment, the failure modes of the test blocks are observed and analyzed, and performance indicators such as stress–strain curve, peak strain, and elastic modulus are obtained. The results show that the test block mainly suffers longitudinal splitting failure under uniaxial compression. The longitudinal cracks become denser and narrower with the increase in BF content. With the increase in BF content, the stress–strain curve decreases gradually, and the peak strain in the fully recycled aggregate concrete increases. There is no obvious change rule toward the peak strain with the increase in the substitution rate. The peak strain and elastic modulus of most test blocks show a trend of first decreasing and then increasing. At each substitution rate, when the BF dosage is 6 kg/m3, the elastic modulus of the test block is the minimum. Based on gray correlation analysis, the substitution rate has a greater impact on the deformation performance of BFRAC than fiber content. Therefore, an appropriate substitution rate has a better effect on improving the stiffness of test blocks and reducing the deflection of bending members.

Uncovering Insights Gained from Applying Block Mode of Teaching: Case of Higher Education

Block Model of Teaching (BMT) is a teaching approach that can lead to higher level of productivity and performance by having a compressed style of teaching. Although BMT is not a new concept to secondary or high schools, the adoption of this mode of teaching in higher education is still limited.

Block mode delivery for studio design teaching in higher education

ABSTRACT Block mode delivery is widely practised in higher education institutions across the world. It is popular at postgraduate level, such as in business and management fields, but is less common at undergraduate level, especially for studio design teaching. There is a lack of literature on the block mode delivery for studio design teaching. The aim of this paper is to identify the favourable attributes and challenges of the block mode delivery for studio design teaching through the analysis of three undergraduate design studio units at an Australian university as case studies. Students’ written feedback of studying these three units were collected and reviewed to evaluate strategies for enhancing student engagement. Challenges of block teaching to students and staff are discussed. The findings suggest that there are various ways to engage with students for active learning in block teaching, which are valuable for curriculum design and continuous improvement.

Dual-objective for the mechanism of membrane fouling in the early stage of filtration and determination of cleaning frequency: A novel combined model

It is great importance to clarify the mechanism of the membrane fouling in the early stage of filtration. In this study, a novel model based on the loss of effective filtration area was established to predict the variation of the transmembrane pressure (TMP) at the constant flux mode. The coefficient of available membrane filtration area (ω) was adopted to describe the inflection point varying from combined pore blocking and cake filtration mode to individual cake filtration mode. Model simulations could predict reasonably the rise of transmembrane pressure (TMP) with correlation coefficient of R2 > 0.99. The reliability of the model was evaluated under different operating conditions (flux and stirring speeds) and feed concentrations, wherein the flux presented higher contribution to TMP, resistance of cake filtration (Rc) and resistance of intermediate pore blocking (Ri) than others. The accuracy of predictions of the proposed model was higher than other previous models. Moreover, the wide adaptability of the model was validated by using various real wastewater as feed suspensions. Furthermore, the calculation of the timing of the cake layer formation from the proposed model provided an instructional suggestion for the determination of the cleaning frequency. In summary, the proposed model sheds light on the fouling mechanism in the early stage of filtration and provides guidance to the strategy of cleaning protocols in MBR operations.

A Wideband Functionality-Reconfigurable RF Building-Block With Four Operating Modes

In this brief, a wideband functionality-reconfigurable RF building-block with in-phase/out-of-phase powering dividing (PD) and single-/dual-band Single-Pole-Double-Throw (SPDT) filtering switching modes is proposed utilizing a novel Switched Central-Loaded Parallel Coupled-Line (SCLPCL) structure. By independently forward-or reverse-biasing the four PIN diodes in the SCLPCL structure, three reconfigurable sub-block statuses (Status I, II and III) can be obtained, which further leads to four operating modes of the whole building block. With the aid of the stepped-impedance compensation network and the Central Loaded Short-Circuited Stubs (CLSCS), the 180∘ phase-shift difference at two achieved pass-through statuses (Status I and II) can be balanced, together with an enhanced out-of-phase bandwidth. In addition, the compensation network can also be used to ease the trade-off between wide out-of-phase bandwidth at the passthrough statuses and high isolation at the isolated circuit status (Status III). The SCLPCL is further modified and optimized to achieve the three-port functionality-reconfigurable RF buildingblock. The implemented prototype demonstrates a wide bandwidth in all modes. Moreover, less PIN diodes are applied to obtain more operating modes, verifying the simplicity of the proposed method to design functionality-reconfigurable RF circuits.

MM'B3O4F3 (M = K; M' = Na, K, Cs): Alkali-Metal Fluorooxoborates with ∞1[B3O4F3] Chains and Deep-Ultraviolet Cutoff Edges.

Three mixed-alkali-metal fluorooxoborates, KNaB3O4F3 (I), K2B3O4F3 (II), and KCsB3O4F3 (III), were acquired in a closed system. I-III are isomorphic and adopt orthorhombic structures [Pbcn (No. 60)] with wavy parallelly arranged pseudolayers composed of ∞1[B3O4F3] chains, which exhibit slight differences in the arrangement modes of the fundamental building blocks. First-principles calculations illustrate that they all have moderate birefringence and large band gaps on the order of 7.0 eV, suggesting deep-ultraviolet (DUV) cutoff edges. In order to investigate the main source of the optical properties, the electronic structure and anisotropy of the response electron distribution were analyzed. Experimental characterizations for I confirm the structure and DUV transparence ability.

Distributed Cruise Control and Comfort Evaluation for High-speed Trains Under Moving Block Mode

This paper investigates the problems of distributed cooperative cruise control and train running comfort for high-speed trains with input constraints under moving block mode. Firstly, inspired by the mode of hitting a hard wall for moving block, a distributed cooperative cruise control algorithm based on the position and speed state information of adjacent trains is proposed. Under this control algorithm, all trains can track the given speed and realize speed cruise. In this algorithm, the relationship between speed and displacement is used to improve the position term, so as to achieve the minimum safe distance between trains by adjusting the speed. Secondly, aiming at the problem of the excessive acceleration of each train in the moving block mode, the hyperbolic tangent function is introduced to limit the acceleration of each train in an appropriate range by limiting the control input. Finally, the stability of the closed-loop system in error state is proved by using Lyapunov stability theorem, and the feasibility of the algorithm is verified by simulation.

Spatio-Temporal Correlation Guided Geometric Partitioning for Versatile Video Coding.

Geometric partitioning has attracted increasing attention by its remarkable motion field description capability in the hybrid video coding framework. However, the existing geometric partitioning (GEO) scheme in Versatile Video Coding (VVC) causes a non-negligible burden for signaling the side information. Consequently, the coding efficiency is limited. In view of this, we propose a spatio-temporal correlation guided geometric partitioning (STGEO) scheme to efficiently describe the object information in the motion field of video coding. The proposed method can economize the bits consumed for side information signaling, including the partitioning mode and motion information. We firstly analyze the characteristics of partitioning mode decision and motion vector selection in a statistically-sound way. Based on the observed spatio-temporal correlation, we design a mode prediction and coding method to reduce the overhead for representing the above mentioned side information. The main idea is to predict the STGEO modes and motion candidates that have higher selection possibilities, which can guide the entropy coding, i.e., representing the predicted high-probability modes and motion candidates with fewer bits. In particular, the high-probability STGEO modes are predicted based on the edge information and history modes of adjacent STGEO-coded blocks. The corresponding motion information is represented by the index in a merge candidate list, which is adaptively inferred based on the off-line trained merge candidate selection probability. Simulation results show that the proposed approach achieves 0.95% and 1.98% bit-rate savings on average compared to VTM-8.0 without GEO for Random Access and Low-Delay B configurations, respectively.

Medical Image Compression Method Using Lightweight Multi-Layer Perceptron for Mobile Healthcare Applications

As video compression is one of the core technologies required to enable seamless medical data streaming in mobile healthcare applications, there is a need to develop powerful media codecs that can achieve minimum bitrates while maintaining high perceptual quality. Versatile Video Coding (VVC) is the latest video coding standard that can provide powerful coding performance with a similar visual quality compared to the previously developed method that is High Efficiency Video Coding (HEVC). In order to achieve this improved coding performance, VVC adopted various advanced coding tools, such as flexible Multi-type Tree (MTT) block structure which uses Binary Tree (BT) split and Ternary Tree (TT) split. However, VVC encoder requires heavy computational complexity due to the excessive Rate-distortion Optimization (RDO) processes used to determine the optimal MTT block mode. In this paper, we propose a fast MTT decision method with two Lightweight Neural Networks (LNNs) using Multi-layer Perceptron (MLP), which are applied to determine the early termination of the TT split within the encoding process. Experimental results show that the proposed method significantly reduced the encoding complexity up to 26% with unnoticeable coding loss compared to the VVC Test Model (VTM).

Machine Learning Prediction of Cardiac Resynchronisation Therapy Response From Combination of Clinical and Model-Driven Data.

Background: Up to 30–50% of chronic heart failure patients who underwent cardiac resynchronization therapy (CRT) do not respond to the treatment. Therefore, patient stratification for CRT and optimization of CRT device settings remain a challenge.Objective: The main goal of our study is to develop a predictive model of CRT outcome using a combination of clinical data recorded in patients before CRT and simulations of the response to biventricular (BiV) pacing in personalized computational models of the cardiac electrophysiology.Materials and Methods: Retrospective data from 57 patients who underwent CRT device implantation was utilized. Positive response to CRT was defined by a 10% increase in the left ventricular ejection fraction in a year after implantation. For each patient, an anatomical model of the heart and torso was reconstructed from MRI and CT images and tailored to ECG recorded in the participant. The models were used to compute ventricular activation time, ECG duration and electrical dyssynchrony indices during intrinsic rhythm and BiV pacing from the sites of implanted leads. For building a predictive model of CRT response, we used clinical data recorded before CRT device implantation together with model-derived biomarkers of ventricular excitation in the left bundle branch block mode of activation and under BiV stimulation. Several Machine Learning (ML) classifiers and feature selection algorithms were tested on the hybrid dataset, and the quality of predictors was assessed using the area under receiver operating curve (ROC AUC). The classifiers on the hybrid data were compared with ML models built on clinical data only.Results: The best ML classifier utilizing a hybrid set of clinical and model-driven data demonstrated ROC AUC of 0.82, an accuracy of 0.82, sensitivity of 0.85, and specificity of 0.78, improving quality over that of ML predictors built on clinical data from much larger datasets by more than 0.1. Distance from the LV pacing site to the post-infarction zone and ventricular activation characteristics under BiV pacing were shown as the most relevant model-driven features for CRT response classification.Conclusion: Our results suggest that combination of clinical and model-driven data increases the accuracy of classification models for CRT outcomes.

A Study on Transportation Functions of Disaster-Prevention Road for Post-Earthquake Building Collapse

<p>由災害案例顯示，在大規模地震下常會造成地表破壞、建物倒塌、維生管線毀壞、與道路阻斷狀況，例如1994年洛杉磯北嶺ML6.6地震、1995年日本阪神ML7.2地震、及1999年台灣921集集ML7.3地震，皆造成嚴重的建築物倒塌外，也間接引起周邊道路阻斷的情況，不僅衝擊都市機能運作外，亦導致鏈鎖性衝擊影響，災害後果顯示，地方政府需考量間接災難衝擊影響，例如震後建物倒塌引起的道路阻斷，與建物火災事件將加劇衝擊之後果，傷亡與經濟損失將高將於地震直接損失，有鑑於此，本研究藉災害衝擊鏈觀點，發展震後建物倒塌引致的道路阻斷評估模式，並利用地震情境模擬分析(中洲構造ML6.9)，有效整合震後建物起火數推估模式，發展出一套建物倒塌地震情境模擬分析程序。研究結果顯示，台南市示範區內強震區建物嚴重損壞，建物結構殘礫落下引起道路嚴重阻斷情況，尤其發生在台南市中西區老舊建物的鄰近道路，與醫療院所外部救援道路，此外震後造成建物倒塌發生三處火災事件，火災救援與傷患運輸等可能受到影響，對災害管理，強化都市防災機能，檢討防救災道路及防救災公共設施，防災應變能力，是刻不容緩之事，本研究結果可具體掌握震後道路系統阻斷情況，可協助防救災設施的情資研判，做出合理且有效決策，及面對災害防救避難規劃之參考。</p> <p> </p><p>Moderate-to-large earthquakes cause problems such as severe damage to buildings, critical infrastructure failure, and road blockages. For example, during the 1994 Northridge earthquake (ML6.6), 1995 Kobe earthquake (ML7.2), and 1999 Chi-Chi earthquake (ML7.3), strong ground motion caused the collapse of buildings and indirectly resulted in road blockages, which not only negatively affected the operation of urban functions but also triggered failures in related and connected systems, effectively amounting to a disaster cascade. Road networks are crucial in an emergency, such as the aftermath of a strong earthquake, at which time rescued people must be immediately transported to rescue staging sites, injured people must be taken to hospitals, assistance must be transported to the scene, and repair work must be conducted on damaged infrastructure. With rapid urbanization, Taiwan is becoming increasingly dependent on its transportation infrastructure. Governments must consider the disaster impact chain to reduce the harmful consequences of disasters. For instance, post-earthquake casualties and the socioeconomic impacts of fire events generally have a greater negative impact than do the losses directly caused by earthquakes. The current study developed a disaster impact chain triggered by the collapse of buildings after an earthquake. We integrated the road blocking mode and post-earthquake fire mode and developed a set of procedures and methods. The results of this research can be used as a basis for determining the damage to road systems after earthquakes, guiding the operation of disaster prevention and relief facilities, informing reasonable and effective decision-making during disasters, and serving as a reference for the government facility inspection and priority restoration work.</p> <p> </p>

Parotid gland dose reduction in the hippocampus avoidance whole-brain radiotherapy using helical tomotherapy.

The present study aimed to reduce the parotid gland dose in the hippocampus avoidance with whole-brain radiotherapy (HA-WBRT) using the helical tomotherapy (HT). Ten patients who had previously undergone WBRT were randomly selected and enrolled in this study. During the treatment planning, two different techniques to the jaw were applied for each patient, namely, 1.0 cm fixed jaw and 2.5 cm dynamic jaw. To efficiently reduce the dose in the bilateral parotid glands, directional block (DB) mode was set. The DB is a function of a treatment planning system for the dose reduction in organs at risk. The standard HA-WBRT plan which did not reduce the parotid gland dose was also designed to compare the plan quality. Compared with the standard HA-WBRT plan, the parotid gland dose could be reduced by approximately 70% without extending the delivery time by adding the parotid gland on the DB mode to the dose constraint. In addition, the differences in dosimetric parameters observed between the plans employing the 1.0 cm fixed jaw and 2.5 cm dynamic jaw were almost negligible. Moreover, delivery time in the 2.5 cm dynamic jaw could be greatly reduced by 60% compared with that in the 1.0 cm fixed jaw.

Target State Classification by Attention-Based Branch Expansion Network

The intelligent laboratory is an important carrier for the development of the manufacturing industry. In order to meet the technical state requirements of the laboratory and control the particle redundancy, the wearing state of personnel and the technical state of objects are very important observation indicators in the digital laboratory. We collect human and object state datasets, which present the state classification challenge of the staff and experimental tools. Humans and objects are especially important for scene understanding, especially those existing in scenarios that have an impact on the current task. Based on the characteristics of the above datasets—small inter-class distance and large intra-class distance—an attention-based branch expansion network (ABE) is proposed to distinguish confounding features. In order to achieve the best recognition effect by considering the network’s depth and width, we firstly carry out a multi-dimensional reorganization of the existing network structure to explore the influence of depth and width on feature expression by comparing four networks with different depths and widths. We apply channel and spatial attention to refine the features extracted by the four networks, which learn “what” and “where”, respectively, to focus. We find the best results lie in the parallel residual connection of the dual attention applied in stacked block mode. We conduct extensive ablation analysis, gain consistent improvements in classification performance on various datasets, demonstrate the effectiveness of the dual-attention-based branch expansion network, and show a wide range of applicability. It achieves comparable performance with the state of the art (SOTA) on the common dataset Trashnet, with an accuracy of 94.53%.

DEVELOPMENT OF THE "SMART HOUSE" CONTROL SYSTEM

The proposed system allows you to control the parameters of the house using a remote control system. Changes in temperature and humidity in the house are monitored by telephone. The entire lighting system of the house is controlled. If a gas leak or fire occurs in the house, an alarm is triggered and a notification is sent to the phone. If there is unauthorized access to the house, this is detected by a motion sensor and a notification is sent to the phone. Changes in the apartment, which is "under the control" of the system, can be monitored and managed in the "Serial Monitor" section. Selected optical sensors are sensors that capture an optical image and work by analyzing the darkest and brightest parts of the image using algorithms. The level of security increases depending on the sensor's sensing element, so the higher the sensor's resolution, the better the image details. The ultrasonic signal is transmitted to the finger located on the scanner. Due to the presence of pores and other details that are characteristic of each fingerprint, part of this signal is absorbed, and part is returned to the sensor. As a result, the sensor can recognize fingerprints. Password authorization. A password based door lock system is an access control system that allows only authorized persons to enter a restricted area. When an authorized person enters the user ID and password from the keyboard, the door opens and after a few minutes the door closes again. If the code is entered incorrectly three times in a row, the code lock will go into blocking mode. Keywords: "smart house", control system, temperature sensor, motion sensor, telediagnostics, telecontrol.

Rock Slope Stability Analysis Based on Comprehensive Failure Mechanism and Engineering Application

The sliding modes of rock slopes are closely related to the strength yield criterion of the rock mass adopted in numerical analysis. In order to make theoretical calculation results meet engineering practice, particularly for complex rock slopes with multiple empty surfaces, multiple control sliding surfaces and potential sliding modes, numerical analysis method used for stability evaluation should take comprehensive failure of the rock mass into consideration. This paper proposes a stability evaluation method based on a comprehensive failure mechanism of the rock mass based on discrete element theory and a modified M-C strength yield criterion to overcome the shortcomings of traditional strength yield criteria, which are mainly derived from shear strength failure. However, the method is used to analyze deformation and failure modes of a typical rock slope in Shuang Jiang Kou Hydropower Station. The results of the findings demonstrated that the method mentioned above can describe different failure modes of rock blocks and joints, deformation trend and stable state of the slope. The experimental results are approved by geological exploring. To adapt to the yield modes of the rock block and joint, a space support system with variable angles, lengths, and design forces is chosen for this typical rock slope. This support system has been proven to be practical and can improve the stability coefficient of the slope. The results presented in this study are useful in engineering practice.